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ai / software engineering intern Jobs in Seattle

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ai engineer - genai, creative-x

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

applied science manager , stores foundation ai (sfai) Jobs in Seattle

business development lead cloud ai

HARVEY

<div><div><p>Location</p><div>
Seattle</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Remote</div></div><div><p>
Department</p><div>
Business Development</div></div><div><p>
Compensation</p><ul><div><p>
70/30 OTE $240K &ndash; $360K &bull; Offers Equity</p></div></ul><div><div><i>
Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</i></div></div></div></div>
<br><div><div><b>Why Harvey</b></div><p>
At Harvey, we&rsquo;re transforming how legal and professional services operate &mdash; not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.</p><p>
This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.</p><p>
Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle &mdash; from early thinking to long-term outcomes. We stay close to our customers &mdash; from leadership to engineers &mdash; and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.</p><p>
At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.</p><p></p><p><b>
Role Overview</b></p><p>
Harvey's competitive moat deepens every time we tighten our integration with the platforms at the cutting edge of AI. The cloud hyperscalers and frontier AI labs are unique players in our space &mdash; they are simultaneously distribution partners, co-development collaborators, co-investment vehicles, and co-marketing amplifiers. We need a leader who understands how to work these relationships across every dimension and turn them into durable, compounding advantages for Harvey.</p><p>
As Business Development Lead, Cloud &amp; AI, you will own Harvey's relationships with the major cloud providers (AWS, Microsoft/Azure) and AI labs &mdash; driving joint go-to-market, co-product development, co-investment, and co-marketing initiatives. You will manage a team of dedicated partner managers and work cross-functionally with Product, Engineering, Marketing, and Sales to ensure these alliances deliver outsized commercial and strategic value.</p><p></p><p><b>
What You'll Do</b></p><p></p><p><b>
Alliance Strategy &amp; Relationship Management</b></p><ul><li><div>
Define and execute Harvey's cloud and AI alliance strategy, ensuring alignment with company-wide product and growth priorities</div></li><li><div><br>
Own the executive-level relationships with key cloud providers (AWS, Microsoft) and AI labs; serve as the primary point of contact for joint planning and escalation</div></li><li><div><br>
Develop and maintain joint business plans with each strategic partner, with clear objectives around pipeline, revenue, product integration, and brand amplification</div></li><li><div><br>
Track competitive dynamics across the cloud/AI ecosystem and advise leadership on partnership opportunities and threats</div></li></ul><p><b><br>
Co-Product Development &amp; Integration</b></p><ul><li><div>
Partner with Harvey's Product and Engineering teams to drive technical integrations, joint solution development, and marketplace listings with cloud and AI partners</div></li><li><div><br>
Identify and advance co-investment opportunities &mdash; credits programs, joint development funds, and strategic investment vehicles that strengthen Harvey's position</div></li><li><div><br>
Ensure Harvey maximizes its standing in partner programs (e.g., AWS ISV Accelerate, Microsoft ISV Success) to unlock technical resources, funding, and GTM support</div></li></ul><p><b><br>
Co-Marketing &amp; Co-Selling</b></p><ul><li><div>
Build and execute joint marketing programs with cloud and AI partners &mdash; case studies, webinars, events, analyst engagements, and co-branded content</div></li><li><div><br>
Drive co-selling motions with cloud partner sales teams, creating alignment between their field sellers and Harvey's direct sales organization</div></li><li><div><br>
Develop incentive structures and deal registration workflows that make it easy for partner field teams to bring Harvey into their accounts</div></li></ul><p><b><br>
Team Leadership &amp; Scaling</b></p><ul><li><div>
Recruit, develop, and retain a team of dedicated partner managers (Microsoft, AI Labs, AWS); set clear goals and create a culture of ownership and strategic thinking</div></li><li><div><br>
Build repeatable frameworks for managing complex, multi-dimensional technology alliances</div></li><li><div><br>
Represent cloud and AI partners internally &mdash; ensuring their roadmaps, programs, and incentives are factored into Harvey's product and GTM planning</div></li><li><div><br>
Provide regular reporting to leadership on alliance health, co-sell pipeline, and strategic program milestones</div></li></ul><p><b><br>
What You Have</b></p><ul><li><div>
7&ndash;10+ years of experience in technology alliances, cloud partnerships, or strategic business development within enterprise SaaS, AI/ML, or platform ecosystems</div></li><li><div><br>
Proven track record of managing multi-dimensional partnerships with cloud hyperscalers (AWS, Azure/Microsoft, GCP) or AI labs &mdash; across co-sell, co-build, and co-market motions</div></li><li><div><br>
Strong technical fluency: you can engage credibly with product and engineering teams on integration architecture, API strategy, and platform capabilities</div></li><li><div><br>
Experience managing and developing teams of 3&ndash;5+ across alliance management and partner development functions</div></li><li><div><br>
Strong executive presence with the ability to build trusted relationships with VP+ stakeholders at major technology companies</div></li><li><div><br>
Analytical rigor &mdash; you are comfortable defining KPIs, building business cases for partnership investments, and using data to drive decisions</div></li><li><div><br>
Startup sensibility: you thrive in ambiguity, move fast, and are comfortable building alliance programs from scratch in a high-growth environment</div></li></ul><p><b><br>
Compensation</b></p><p>
$240,000-$360,000 70/30 OTE
</p><p></p><p><b>Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [</b><b>here</b><b>].</b></p><p></p><p><i>
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.</i></p><p>
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</p></div>

Business Development Lead, Cloud & AI

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale.<br>
<br>
We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale.<br>
As part of our diverse team&mdash;including data scientists, engineers, language engineers, linguists, and program managers&mdash;you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence.
<br>
<br>
Key job responsibilities<br>
In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.<br>
Specific responsibilities include:<br>
<ul><li>Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features</li><li>Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings</li><li>Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases</li><li>Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance</li><li>Develop and refine annotation guidelines and quality frameworks for evaluation tasks</li><li>Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies</li><li>Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements</li><li>Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts</li><li>Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets</li></ul><br>
About the team<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Hybrid Work<br>
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually<br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, AWS Quick Data

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you a tech-savvy storyteller who can translate complex AI and analytics solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of business intelligence and generative AI.<br>
<br>
As part of the Amazon Quick team, you'll drive go-to-market strategy for our enterprise AI platform that combines generative AI-powered search, deep research, agents/automations, and business intelligence. In this role, you'll work backwards from customer needs to influence product strategy across AI chat, research agents, workflow automation, and analytics capabilities.<br>
<br>
We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how Quick can transform their business.<br>
<br>
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage generative AI and business intelligence, this role is for you.<br>
<br>
Key job responsibilities<br>
<ul><li>Partner with product management and GTM teams to develop portfolio-level strategy documents and guide Quick service prioritization
</li><li>Create and own positioning and messaging that clearly articulates value propositions to customers
</li><li>Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
</li><li>Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
</li><li>Develop technical content including presentations, demonstrations, and reference architectures that educate customers on Quick offerings
</li><li>Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions
</li><li>Drive field enablement strategies to support product launches, campaigns, and customer success
</li><li>Align with technical and business leaders on primary AI and analytics use cases for their specific ideal customer profiles; define best practice architecture and services for each use case</li></ul><br>
About the team<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in a relevant field or equivalent work experience</li><li>Experience conveying complex technical concepts to both technical and business audiences</li><li>3+ years of cloud architecture and solution implementation experience, or degree in advanced technology</li><li>5+ years of direct experience working with customers on cloud technology adoption AND/OR 5+ years of direct experience working in enterprise software or SaaS industry</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>MBA, or Master's degree</li><li>Experience presenting to both technical and non-technical executive audiences</li><li>Experience bringing technology products to market in a fast-paced environment</li><li>Experience with product-led growth strategies and self-service product adoption</li><li>Track record of creating compelling technical demonstrations and reference architectures</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 130,500.00 - 176,000.00 USD annually<br>
USA, CA, Santa Clara - 130,500.00 - 176,000.00 USD annually<br>
USA, MA, Boston - 118,600.00 - 160,000.00 USD annually<br>
USA, NY, New York - 130,500.00 - 176,000.00 USD annually<br>
USA, WA, Seattle - 118,600.00 - 160,000.00 USD annually</div><p></p>

Product Marketing Manager Tech, Amazon Quick

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AWS Trainium is deployed at scale, with millions of chips in production, used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency.
<br>
<br>
AWS Neuron is hiring a Principal Technical Product Manager to define and drive product strategy for training software on Trainium. This includes distributed training libraries, post-training workflows (RLHF, DPO, fine-tuning), reinforcement learning frameworks, and training performance optimization. Your mission is to enable researchers and operators to train frontier models at scale on Trainium, from single-node experimentation to distributed training across thousands of nodes.
<br>
<br>
You will be the champion inside AWS for frontier model builders pushing the bounds of scale and resilience for current and emerging training paradigms. You will work with customers inside and outside the company to identify key improvements and stay ahead of the training landscape. You will define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium.
<br>
<br>
To be successful, you will partner with engineering teams building training libraries and distributed training infrastructure, applied scientists developing optimization techniques, and PMs responsible for compiler, runtime, NKI, and infrastructure. You will develop deep knowledge of AI/ML training architectures, distributed training systems, model parallelism strategies, and training performance optimization to effectively define product strategy and make informed technical decisions.
<br>
<br>
The Ideal Candidate
<br>
<br>
The ideal candidate will have solid understanding of large-scale model training, distributed training architectures, post-training workflows, and reinforcement learning. They should be able to assess technical implications of training software stack decisions, understand customer needs, and drive developer experience improvements. The ideal candidate can navigate ambiguity in a fast-moving, early-stage initiative, balance competing priorities across multiple workstreams, and drive alignment across engineering and science stakeholders with excellent written and verbal communication abilities<br>
<br>
Key job responsibilities<br>
Training Product Strategy &amp; Roadmap
<br>
<br>
Define and execute training product strategy and roadmap working backwards from customer requirements in collaboration with engineering leadership. Define the vision for how customers train frontier models at scale on Trainium, balancing performance, developer experience, and AI/ML ecosystem compatibility. Produce PRFAQs and PRDs for training capabilities. Drive technical alignment across Neuron training libraries, distributed training infrastructure, and dependencies. Partner with PMs responsible for compiler, NKI, runtime, and infrastructure. Drive trade-offs between training performance, scalability, developer experience, and AI/ML ecosystem compatibility. Define requirements for reusable training building blocks that compose into end-to-end workflows.
<br>
<br>
Post-Training, RL &amp; Emerging Workflows
<br>
<br>
Drive strategy for post-training workflows including RLHF, DPO, reward modeling, and fine-tuning at scale. Define requirements for how Neuron supports emerging training paradigms, model architectures, and RL-based optimization loops. Lead the product experience for RL research-to-production workflows on Trainium. Create and optimize RL libraries and frameworks to help researchers and production model builders.
<br>
<br>
Customer Engagement &amp; Enablement
<br>
<br>
Work with BD, Solutions Architecture, and GTM teams to engage customers training frontier models on Trainium. Understand their distributed training challenges, RL needs, performance optimization requirements, and framework preferences. Translate customer pain points into product requirements. Define success metrics for training adoption and performance. Support customer enablement for training migration and optimization.
<br>
<br>
Training AI/ML Ecosystem &amp; Delivery
<br>
<br>
Define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium. Own the technical depth on training-specific AI/ML ecosystem tools and define how Neuron's training libraries integrate with them. Track training-specific AI/ML ecosystem trends and feed them into product planning. Drive open source community engagement and upstream contributions for training-related tools. Coordinate with BD on partnership discussions where training-specific technical input is needed.
<br>
<br>
Launch &amp; Go-to-Market
<br>
<br>
Lead end-to-end launches for training capabilities, coordinating documentation, field enablement, and customer communications. Partner with Marketing and Solutions Architecture to drive awareness and adoption. Define launch success criteria and track adoption metrics.
<br>
<br>
About the team<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We operate with startup like velocity, prioritizing talent acquisition, hands on leadership, and flexible organization. Our senior members enjoy one on one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.<br>
<br>
<br>
<br>
<br>
Diverse Experiences<br>
<br>
<br>
<br>
<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.<br>
<br>
<br>
<br>
<br>
Inclusive Team Culture<br>
<br>
<br>
<br>
<br>
Here at AWS, it's in our nature to learn and be curious. Our employee led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
<br>
<br>
<br>
Work/Life Balance<br>
<br>
<br>
<br>
<br>
We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.<br>
<br>
<br>
<br>
<br>
Mentorship &amp; Career Growth<br>
<br>
<br>
<br>
<br>
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career advancing resources here to help you develop into a better rounded professional.<br>
<br>
<br>
<br>
<br>
About Amazon Annapurna Labs<br>
<br>
<br>
<br>
<br>
Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.<br>
<br>
<br>
<br>
<br>
About AWS Utility Computing (UC)<br>
<br>
<br>
<br>
<br>
AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.<br>
<br>
<br>
<br>
<br>
About AWS<br>
<br>
<br>
<br>
<br>
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
<br>
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of working as a Technical Product Manager experience</li><li>Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent</li><li>Experience with large-scale model training workflows, including solid knowledge of distributed training concepts</li><li>Familiarity with major AI/ML training frameworks (JAX or PyTorch) and how training libraries interact with them</li><li>Experience driving product strategy, long-term roadmap development, and cross-organizational alignment</li><li>Excellent written and verbal communication abilities, including executive-level communication</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with PyTorch or JAX distributed training</li><li>Track record of driving developer training libraries and tools</li><li>Experience with design and scaling of training optimization software (e.g., NeMo, TorchTitan, TRL, VeRL, MaxText, AXLearn, or similar)</li><li>Experience leading RL for research-to-production at scale</li><li>Experience with post-training workflows including RLHF, DPO, reward modeling, and fine-tuning</li><li>Experience with AI/ML training accelerators and hardware, including training performance optimization, profiling, and tooling</li><li>Experience with distributed training of large-scale models including model parallel training techniques (tensor, pipeline, sequence, and expert parallelism)</li><li>Experience working on open source and GitHub-first developer products with deep customer interactions</li><li>Track record of driving open standards and AI/ML ecosystem integration for training workflows</li><li>Experience operating in early-stage, ambiguous environments with startup-like velocity</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Cupertino - 208,300.00 - 281,800.00 USD annually<br>
USA, WA, SEATTLE - 181,100.00 - 245,000.00 USD annually<br>
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually</div><p></p>

Principal PMT-ES - AI/ML Training, Annapurna Labs

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
About the Role<br>
<br>
Twitch's Enterprise Platform &amp; Technology (EPT) organization is looking for a Senior Software Development Engineer (SDE 3) to architect, build, and operate software systems that power enterprise functions across Twitch and Amazon. This is a hands-on engineering role &mdash; you'll write production code, own team-level architecture, and lead multi-engineer projects from design through deployment and operations.<br>
<br>
The problems you'll solve don't come with a predefined technology strategy. The business direction is understood &mdash; the how is up to you. You'll design and deliver solutions using AWS-native services and AI/agentic patterns, working across domains like Finance, Customer Service, Sales, and Marketing. You'll iterate fast, ship incrementally, and raise the engineering bar for your team through exemplary code, pragmatic design, and mentorship. We need someone who builds, not just advises. You own the architecture and the code.<br>
<br>
You can work in San Francisco, CA; Irvine, CA; or Seattle, WA.<br>
<br>
You Will<br>
<ul><li>Lead projects requiring work from multiple engineers &mdash; owning end-to-end design, integration of parallel work, and delivery across the full software lifecycle (design, implementation, testing, deployment, operations)</li><li>Own team-level architecture for enterprise systems, providing system-wide design guidance and ensuring solutions are cohesive, extensible, and secure</li><li>Build and operate production applications on AWS-native services (Lambda, Step Functions, DynamoDB, Bedrock, S3, CDK, API Gateway, etc.)</li><li>Design and deliver AI-powered and agentic workflows that ship to production &mdash; automating business processes, reducing toil, and accelerating delivery</li><li>Define agentic architecture patterns and establish best practices for building, testing, and operating AI systems in production &mdash; setting the engineering standard for how the team builds with AI</li><li>Design and build data pipelines, data lake integrations, and data models that enable clean, reliable data flows across enterprise systems</li><li>Drive adoption of engineering best practices on your team; set a culture of robust software development through exemplary code, design reviews, and operational rigor</li><li>Actively mentor and coach other engineers, helping them grow their technical skills and independence</li><li>Proactively simplify systems, resolve architecture deficiencies, and reduce operational burden &mdash; identifying one-way-door decisions and advocating for the right long-term solutions</li><li>Communicate technical designs and decisions effectively in writing; develop an understanding of problems that lets you explain them to others in simple, concise terms</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>5+ years of software development experience shipping production systems</li><li>2+ years of hands-on experience building AI/ML-powered systems deployed to production</li><li>Experimentation with agentic architectures is necessary. And production launch is a</li><li>Proficiency in multiple programming languages (e.g., Python, TypeScript/JavaScript, Java)</li><li>Experience designing and building applications using AWS-native services &mdash; not just deploying vendor software on cloud infrastructure</li><li>Demonstrated ability to lead projects involving multiple engineers, owning architecture decisions and integration of parallel work</li><li>Experience designing and building data pipelines, data models, or data lake systems</li><li>Track record of shipping incrementally &mdash; prototyping, validating, iterating, and delivering frequently</li><li>Strong written communication skills; ability to produce technical design documents that create alignment with peers and technical leadership</li><li>Demonstrated ability to solve complex problems with multiple risks and roadblocks, delivering solutions that are as simple as possible</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience across AI/ML engineering and data engineering practices (5+ years combined)</li><li>Familiarity with enterprise platforms (e.g., Salesforce, ServiceNow) as a consumer or integrator</li><li>Experience with security standards and compliance frameworks (SOC2, SOX, GDPR)</li><li>Experience working in enterprise domains such as Finance, Customer Service, Sales, or Marketing</li><li>Mobile development experience (iOS, Android, or cross-platform)</li><li>Experience working in a large-scale, multi-org environment</li><li>Familiarity with integration patterns, middleware, and master data management concepts</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Irvine - 168,100.00 - 227,400.00 USD annually<br>
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Engineer, Enterprise Platform

Provation

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The AI / Software Engineering Intern supports the design, development, and enhancement of scalable healthcare SaaS applications under the guidance of experienced engineers. This role provides hands-on exposure to modern full stack development, cloud-based SaaS architectures, and AI enabled features, while building foundational skills in secure, compliant healthcare software development. The intern will collaborate with cross functional engineering, product, QA, and clinical stakeholders in an agile environment, gaining practical experience with real world healthcare workflows, AI tools, and industry standards. This role is designed as a learning focused opportunity with mentorship, structured guidance, and meaningful project contributions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Software Development &amp; Engineering Fundamentals
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Assist with coding, testing, and debugging software features using modern web and backend technologies (e.g., C#, JavaScript/TypeScript, SQL) under the guidance of senior engineers.
  </li>
  <li>
   Learn and apply foundational software engineering concepts, including object-oriented programming, code readability, and basic design patterns.
  </li>
  <li>
   Contribute to small, well‑scoped features or enhancements within existing codebases and frameworks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cloud &amp; SaaS Exposure
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Gain exposure to cloud platforms (e.g., Azure or AWS) and healthcare SaaS architecture concepts.
  </li>
  <li>
   Participate in development workflows that include version control, code reviews, and CI/CD pipelines under supervision.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI / ML Awareness &amp; Enablement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop familiarity with AI/ML concepts and how AI driven capabilities are integrated into healthcare software products.
  </li>
  <li>
   Support AI enhanced features such as analytics, automation, or decision‑support tools, including basic prompt engineering and evaluation under guidance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Healthcare Compliance &amp; Interoperability
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build awareness of healthcare regulations and standards, including HIPAA privacy principles and secure coding practices.
  </li>
  <li>
   Learn foundational healthcare interoperability concepts such as HL7 and FHIR and how SaaS platforms integrate with EHR systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Agile Collaboration &amp; Professional Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Participate in agile ceremonies as part of an engineering team.
  </li>
  <li>
   Communicate effectively with engineers, QA, and product partners, and incorporate feedback through code reviews and mentoring.
  </li>
  <li>
   Demonstrate curiosity, accountability, and a continuous learning mindset throughout the internship.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently pursuing a bachelor&rsquo;s or master&rsquo;s degree in computer science, Software Engineering, or a related technical field (Junior and Senior year student&rsquo;s preferred).
  </li>
  <li>
   Functional knowledge of at least one programming language (e.g., C#, Python).
  </li>
  <li>
   Strong understanding of software development concepts such as data structures, APIs, and version control.
  </li>
  <li>
   Coursework or project experience related to AI, machine learning, or data analytics.
  </li>
  <li>
   Strong interest in healthcare technology, SaaS platforms, and applied AI.
  </li>
  <li>
   Ability to learn quickly, follow established processes, and work collaboratively in a team environment.
  </li>
  <li>
   Occasional travel may be required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Preferred Knowledge, Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to web or full stack development frameworks like Angular.
  </li>
  <li>
   Familiarity with cloud platforms, containers, or CI/CD concepts.
  </li>
  <li>
   Awareness of healthcare data privacy concepts (HIPAA) or interoperability standards (HL7, FHIR).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
 </strong>
 This internship will be based in one of Provation&rsquo;s preferred cities (Minneapolis, MN; Boston, MA; Nashville, TN; Tampa/St. Petersburg, FL; Phoenix, AZ; and Seattle, WA) for Summer 2026. Candidates must be located in one of these cities.
 <br/>
 <br/>
 <strong>
  Fortive Corporation Overview
  <br/>
  <br/>
 </strong>
 Fortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.
 <br/>
 <br/>
 We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.
 <br/>
 <br/>
 We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
 <br/>
 <br/>
 At Fortive, we believe in you. We believe in your potential&mdash;your ability to learn, grow, and make a difference.
 <br/>
 <br/>
 At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
 <br/>
 <br/>
 At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.
 <br/>
 <br/>
 Fortive: For you, for us, for growth.
 <br/>
 <br/>
 <strong>
  About Provation
  <br/>
  <br/>
 </strong>
 Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation&rsquo;s comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation&reg; MD, Provation&reg; Apex, MD-Reports, Provation&reg; endoPRO&reg;, and Provation&reg; MultiCaregiver), anesthesia documentation (#1 Best in KLAS Provation&reg; iPro), patient engagement, surgical care coordination, quality reporting, and billing capture (Provation&reg; SurgicalValet&trade;), order set and care plan management (Provation&reg; Order Set Advisor&trade; and Provation&reg; Care Plans), and EHR embedded clinical documentation (Provation&reg; Clinic Note). Provation has a loyal customer base, serving more than 5,000 hospitals, surgery centers, and medical offices, and 700 physician groups globally, including 19 of the top 20 U.S. hospitals. In 2021, Provation was acquired by Fortive Corporation, a Fortune 1000 company that builds essential technology and accelerates transformation in high-impact fields like workplace safety, engineering, and healthcare. For more information about our solutions, visit provationmedical.com and follow us on Twitter, Facebook, and LinkedIn. Our purpose at Provation is to empower providers to deliver quality healthcare for all. To deliver on this commitment, we&rsquo;re guided by our core values &ndash; Provation has a culture of CARES:Community - We have a shared sense of improving healthcare, enriching the broader world we live in and serve. Accountability - We own it and get it done with integrity. Respect - We build diverse teams that collaborate and communicate with positive intent and trust. Excellence - We welcome new ideas as we innovate quality solutions. Service - We are passionate about putting customers first.
 <br/>
 <br/>
 We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.
 <br/>
 <br/>
 <strong>
  Pay Range
  <br/>
  <br/>
 </strong>
 The hourly range for this position (in local currency) is $20-$40/hour/
 <br/>
 <br/>
 Provation is a leading provider of healthcare software and SaaS solutions for clinical productivity, care coordination, quality reporting, and billing. Our purpose is to empower providers to deliver quality healthcare for all. Provation&rsquo;s comprehensive portfolio spans the entire patient encounter, from pre-procedure through post-procedure, with solutions for physician and nursing documentation (Provation&reg; MD, Provation&reg; Apex, MD-Reports, Provation&reg; endoPRO&reg;, and Provation&reg; MultiCaregiver), anesthesia documentation (#1 Best in KLAS Provation&reg; iPro), patient engagement, surgical care coordination, quality reporting, and billing capture (Provation&reg; SurgicalValet&trade;), order set and care plan management (Provation&reg; Order Set Advisor&trade; and Provation&reg; Care Plans), and EHR embedded clinical documentation (Provation&reg; Clinic Note). Provation has a loyal customer base, serving more than 5,000 hospitals, surgery centers, and medical offices, and 700 physician groups globally, including 19 of the top 20 U.S. hospitals. In 2021, Provation was acquired by Fortive Corporation, a Fortune 1000 company that builds essential technology and accelerates transformation in high-impact fields like workplace safety, engineering, and healthcare. For more information about our solutions, visit provationmedical.com and follow us on Twitter, Facebook, and LinkedIn. Our purpose at Provation is to empower providers to deliver quality healthcare for all. To deliver on this commitment, we&rsquo;re guided by our core values &ndash; Provation has a culture of CARES:Community - We have a shared sense of improving healthcare, enriching the broader world we live in and serve. Accountability - We own it and get it done with integrity. Respect - We build diverse teams that collaborate and communicate with positive intent and trust. Excellence - We welcome new ideas as we innovate quality solutions. Service - We are passionate about putting customers first.
 <br/>
 <br/>
 We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.
 <br/>
 <br/>
 The hourly range for this position (in local currency) is $20-$40/hour/
</div>


AI / Software Engineering Intern

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon&rsquo;s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers&rsquo; businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon&rsquo;s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
<br>
<br>
AWS Physical AI is building the platform that helps companies developing autonomous systems validate their safety-critical applications. Our team builds solutions that automate the creation of test scenarios, generate synthetic sensor data, and enable simulation-based validation &mdash; covering edge cases and boundary conditions that are difficult to capture through real-world data collection alone.<br>
<br>
Physical AI spans the full lifecycle of autonomous systems development &mdash; from data curation and model training through simulation-based validation and deployment monitoring. As a Software Development Engineer on the Physical AI team, you'll work across this stack, building core capabilities that transform operational design specifications into realistic synthetic scenarios, sensor data, and validation workflows.<br>
<br>
You'll work with generative AI models trained on real-world operational data to create realistic agent behaviors, object interactions, and environmental conditions that systematically explore safety-critical situations. Your work will directly enable validation engineers at companies building autonomous systems to achieve comprehensive test coverage that previously required months of manual effort.<br>
<br>
The Physical AI team builds simulation, synthetic data, and validation tooling that enables autonomous systems to be tested systematically and safely before deployment. We work across the full Physical AI lifecycle &mdash; data curation, scenario generation, simulation, and deployment monitoring. Our team collaborates closely with Applied AI Solutions teams (IoT, Digital Twin, Spatial/Geospatial), SageMaker teams for model development, and leading simulation platform providers. We value technical excellence, customer obsession, and systematic problem-solving. You'll have opportunities to shape the future of autonomous systems validation, work with generative AI technologies, and deliver measurable impact to customers deploying safety-critical autonomous systems at scale.<br>
<br>
Key job responsibilities<br>
Design and implement scenario generation pipelines that transform operational design specifications into diverse scenario variations with comprehensive coverage analysis. Build generative AI model integration layers that leverage real-world operational data to create realistic behaviors while maintaining physical plausibility constraints for agent dynamics, sensor characteristics, and environmental physics. Develop export connectors for industry-standard simulation platforms that handle format compatibility, authentication, and data transfer.<br>
<br>
Create synthetic sensor data generation systems that produce multi-modal outputs (MP4 video, PCD/LAS point clouds, radar data) with accurate sensor characteristics and metadata tracking for validation traceability. Implement coverage analysis algorithms that identify gaps in generated scenario distributions and recommend generation parameters to achieve systematic coverage. Integrate with SageMaker for perception model training workflows and visualization tooling for validation coverage reporting.<br>
<br>
A day in the life<br>
You'll start your morning reviewing generation quality metrics from customer validation campaigns, analyzing scenario success rates and identifying opportunities to improve edge case coverage. You'll participate in a design review for the next iteration of a specification parser, discussing how to handle region-specific rules and regulatory requirements. Mid-morning, you'll pair program with a teammate on implementing physics-based validation checks that verify generated scenarios meet dynamics constraints and behavioral plausibility. After lunch, you'll join a customer call to understand their specific validation challenges and gather requirements for specialized sensor modalities. You'll spend the afternoon optimizing a generation pipeline for scalability, balancing generation quality with compute costs for large scenario volumes. You'll end the day mentoring a junior engineer on generative AI model integration patterns and reviewing pull requests for the simulation platform connector framework.<br>
About the team<br>
<br>
About the team<br>
ABOUT AWS:<br>
Diverse Experiences
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Inclusive Team Culture
<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 165,200.00 - 223,600.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Applied AI Solutions

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