ai and data mid-market sales engineer senior manager

applied scientist, aws applied ai solutions

applied scientist, customer experience and business trends

commercial dock & door service technician

2026 phd scientist intern (competitive intelligence)

account executive, small to medium business

machine learning engineer Jobs in Seattle

machine learning engineer

ai and data mid-market sales engineer senior manager Jobs in Seattle

ai research scientist

applied scientist, aws applied ai solutions Jobs in Seattle

applied scientist, customer experience and business trends Jobs in Seattle

principal product manager platform and ml infra ai ml annapurna labs

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Trainium is deployed at scale, with millions of chips in production, and has been 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. 
 
AWS Neuron is hiring a Technical Product Manager to work backward from Trainium customers and drive the developer experience for running high-performance ML workloads at scale on AWS Trainium, from getting started with Neuron Deep Learning Containers, AMIs, and AWS services to operating at scale through orchestration, resiliency, and observability. 
 
You will drive the product strategy for how developers interact with Trainium through container ecosystems, resource management platforms, and AWS services. This includes Neuron integration with orchestration tools (SLURM, Kubernetes), AWS services (EKS, SageMaker), Neuron Deep Learning Containers and AMIs, and Linux distribution support. You will also drive the strategy for resiliency and observability tools that enable system diagnostics, performance monitoring, health monitoring, automated recovery, and telemetry, allowing customers to operate AI training and inference workloads with maximum uptime and efficiency, as well as how Neuron Runtime System interacts with ML frameworks to ensure scale and high performance execution of models. 
 
To be successful in this role, you will partner with engineering teams and PMs responsible for training, inference, and performance tools, Marketing, Business Development, and Solution Architects supporting customers, and develop deep knowledge and understanding of Trainium Architecture and Neuron Runtime System (including Neuron Runtime Library, Neuron Kernel Driver and Collective Communication Stack) to effectively define product strategy and make informed technical decisions. 
 
The Ideal Candidate 
 
The ideal candidate can balance competing customer priorities and drive alignment across engineering and business stakeholders in a fast-moving, early-stage product environment, with excellent written and verbal communication abilities. 
 
The ideal candidate has experience with: 
 
<ul><li>Technical product management for developer-facing runtime and infrastructure products</li><li>Developer tools (SDKs, libraries, APIs) with focus on developer experience</li><li>Resource management and orchestration systems (SLURM, Kubernetes schedulers)</li><li>ML monitoring, observability, and resilience</li><li>Distributed systems and high-performance computing (HPC) environments</li><li>AWS cloud services and infrastructure</li></ul> 
About AWS Neuron 
 
AWS Neuron is the software stack for running deep learning and generative AI workloads on AWS Trainium and AWS Inferentia. It includes a compiler, runtime, training and inference libraries, and developer tools for monitoring, profiling, and debugging. Built on an open source foundation, Neuron supports native PyTorch and JAX frameworks and popular ML libraries without code modification. Neuron enables rapid experimentation, distributed training across multiple chips and nodes, and cost-optimized inference powered by optimized kernels. For performance optimization, Neuron provides the Neuron Kernel Interface (NKI) for direct hardware access and a suite of profiling and debugging tools. 
 
Key job responsibilities 
Product Strategy &amp; Vision: Own product strategy and roadmap. Guide trade-offs between performance, scalability, and developer experience. Write PRFAQs and PRDs. 
 
Customer Discovery: Understand deployment challenges, orchestration needs, and infrastructure pain points. Represent customer needs in executive prioritization. 
 
Technical Leadership: Drive alignment across Neuron components (Runtime, Kernel Driver, Collective Communication, container infrastructure) and AWS services. Partner with training, inference, and performance PMs. Write user stories and define success metrics. 
 
Impact: Enable customers (Anthropic, Databricks, AWS teams) to deploy, monitor, and operate ML workloads at scale through container orchestration, resource management, health monitoring, and observability. 
 
About the team 
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. 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. 
 
Diverse Experiences 
 
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. 
 
Inclusive Team Culture 
 
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. 
 
Work/Life Balance 
 
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. 
 
Mentorship &amp; Career Growth 
 
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. 
 
About Amazon Annapurna Labs 
 
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. 
 
About AWS Utility Computing (UC) 
 
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. 
 
About AWS 
 
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; 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.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree</li><li>Experience owning/driving roadmap strategy and definition</li><li>Experience with feature delivery and tradeoffs of a product</li><li>Experience technical product management</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working directly with Engineers on product enhancements</li><li>Experience in project management methodologies, business analysis, or process improvement</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
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. 
USA, CA, Cupertino - 206,900.00 - 279,900.00 USD annually 
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually</div>

Principal Product Manager - Platform and ML Infra (AI/ML), Annapurna Labs

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
We are seeking an experienced engineer and technical leader to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued. 
 
If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML&mdash;you'll be working on features for the largest clusters, with the largest customers, for the largest AI models. This is a role for a technical lead with the expectation to grow into a technical manager role. We are specifically seeking candidates who want to develop their career as a technical manager. 
 
The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. 
 
Key job responsibilities 
Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale. Use internal Amazon CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads. Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.
 
 
About the team 
The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. 
 
Diverse Experiences 
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. 
 
Work/Life Balance 
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. 
 
Mentorship &amp; Career Growth 
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.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><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>3+ years as a mentor, tech lead or leading engineering teams</li><li>3+years experience in SW/HW Co-Design</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>Experience creating automated dashboards and visualization (such as Grafana)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
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. 
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Lead Engineer, ML Network Stack - Annapurna Labs

Oracle

<div>Oracle Cloud Infrastructure (OCI) delivers mission-critical applications for top tier enterprises around the world. Our cloud offers unmatched hyperscale, multitenant services deployed in more than 50 regions worldwide. OCI is expanding its mission beyond the traditional boundaries of public cloud to include dedicated, hybrid and multi cloud, edge computing, and more.
The OCI Developer Platform is the backbone of internal and external engineering on Oracle Cloud Infrastructure, delivering CI/CD, tooling, automation and platform services at massive scale. We are evolving toward a modern, more efficient organization leveraging AI.
 
 
We are looking for a Principal AI Engineer to lead the design and implementation of AI capabilities across the OCI Developer Platform. This is a hands-on technical leadership role for someone who can operate independently, think from first principles, and build scalable AI systems from scratch in a hyperscale cloud environment.
You will identify high-impact AI opportunities, architect platform-grade solutions, and drive them from prototype to production. This role requires strong ownership, architectural depth, and the ability to influence across engineering, product, and infrastructure teams.</div>
 <div><ul><li>Collaborate with key stakeholders to define and drive the AI strategy for the OCI Developer Platform.
</li><li>Identify high-leverage AI use cases that improve developer productivity, platform intelligence, automation, and operational efficiency.
</li><li>Architect and build scalable AI/ML systems that operate reliably in large-scale cloud environments.
</li><li>Design AI-driven developer experiences (code intelligence, automation agents, platform insights, intelligent diagnostics, etc.).Lead end-to-end development: data pipelines, model development, evaluation frameworks, deployment, and monitoring.
</li><li>Partner with product, security, and infrastructure teams to align AI initiatives with platform roadmap and compliance requirements.Prototype rapidly, validate impact, and productize with enterprise-grade reliability and security.
</li><li>Mentor engineers and influence technical direction.</li></ul></div>

Principal Software Engineer - AI/ML

Moodys Northwest Consulting

<div>
 
 
 Role:
 
 AI Enterprise Architect, Lead
 
 
 
 Location:
 
 Mountlake Terrace, Seattle, WA (Hybrid), 3 days in the office and 2 days remote.
 
 
 
 Duration:
 
 Long term contract
 
 
 
 
 
 
 Overview
 
 
 <ul>
 <li>
 We are seeking an experienced AI Enterprise Architect, Lead to drive enterprise-wide AI enablement and lead a small, high-performing pod focused on deploying AI capabilities across the organization. This individual will serve as both a hands-on technical leader and strategic architect, with the executive-level presence required to engage senior stakeholders and influence enterprise direction.
 </li>
 <li>
 You will lead a pod of three engineers, guiding the design, development, and integration of AI-driven applications and services into existing business and technical ecosystems.
 </li>
 <li>
 This role is technical and AI-focused, with emphasis on AI concepts, Python, and machine learning, along with the ability to partner directly with leadership to drive adoption at scale.
 </li>
 </ul>
 
 
 
 
 
 Description
 
 
 
 This role will require below knowledge and will have responsibilities respectively:
 
 
 
 AI/ML Concepts:
 
 
 <ul>
 <li>
 Be ready to discuss core AI/ML concepts and projects you&rsquo;ve worked on.
 </li>
 <li>
 Be able to articulate how you applied these concepts in practical scenarios.
 </li>
 </ul>
 
 
 RAG (Retrieval-Augmented Generation) Concepts:
 
 
 <ul>
 <li>
 Review the basics of RAG and how it works in AI systems.
 </li>
 <li>
 Understand its applications and be able to explain it simply.
 </li>
 </ul>
 
 
 Agentic AI Frameworks:
 
 
 <ul>
 <li>
 Familiarize yourself with agentic AI frameworks and their purpose.
 </li>
 <li>
 Be ready to discuss any experience or theoretical understanding.
 </li>
 </ul>
 
 
 Platform-Building Knowledge:
 
 
 <ul>
 <li>
 Understand the process of designing and building AI platforms.
 </li>
 <li>
 Be ready to explain your thought process in approaching platform-level problems.
 </li>
 </ul>
 
 
 Communication &amp; Executive Presence:
 
 
 <ul>
 <li>
 Practice articulating your work clearly and concisely
 </li>
 <li>
 Be prepared to explain decisions, trade-offs, and approaches in an executive-friendly manner
 </li>
 <li>
 Demonstrate the ability to lead conversations with Directors/VPs, align cross-functional teams, and influence outcomes
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate should have:
 
 
 <ul>
 <li>
 Strong technical skills (Python, Java)
 </li>
 <li>
 Understanding of Azure AI Foundry / Azure AI ecosystem
 </li>
 <li>
 Strong platform engineering experience
 </li>
 <li>
 Understanding of AI frameworks and ecosystem
 </li>
 <li>
 Executive-level presence and the ability to work confidently with senior leadership, enterprise stakeholders, and cross-functional partners
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead technical delivery for AI initiatives, overseeing a pod of three engineers to build and deploy AI-powered solutions
 </li>
 <li>
 Design and implement AI architectures that integrate seamlessly with enterprise platforms, data sources, and security frameworks
 </li>
 <li>
 Collaborate with business and technology teams to identify high-impact AI use cases and translate them into scalable, production-grade solutions
 </li>
 <li>
 Partner with executive stakeholders to drive enterprise AI strategy, roadmap alignment, and prioritization of AI initiatives
 </li>
 <li>
 Build and optimize MLOps and LLMOps pipelines, including model training, deployment, monitoring, and continuous improvement
 </li>
 <li>
 Provide technical leadership and mentorship, fostering a culture of innovation, quality, and velocity
 </li>
 <li>
 Partner with enterprise architecture and security teams to ensure all solutions meet compliance, governance, and data privacy standards
 </li>
 <li>
 Contribute to AI strategy, tooling selection, and platform evolution to support enterprise-wide enablement
 </li>
 <li>
 Serve as a senior technical advisor, capable of presenting architecture options, risk trade-offs, and solution direction to leadership audiences
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 7+ years of experience in software development with a strong focus on modern programming languages (e.g., Python, Java, TypeScript).
 </li>
 <li>
 3+ years of experience in AI/ML solution architecture or AI engineering leadership.
 </li>
 <li>
 Proven experience leading small engineering teams or pods.
 </li>
 <li>
 Strong understanding of LLMs, GenAI, NLP, and integration with enterprise systems.
 </li>
 <li>
 Experience with cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and MLOps frameworks.
 </li>
 <li>
 Familiarity with data privacy and security compliance in regulated industries.
 </li>
 <li>
 Strong problem-solving skills and the ability to translate complex concepts into clear, actionable strategies.
 </li>
 <li>
 Demonstrated executive/leadership-level presence, including experience presenting AI/architecture solutions to senior stakeholders (Director/VP/C-suite) and driving alignment across teams
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience deploying AI solutions in healthcare or other highly regulated environments.
 </li>
 <li>
 Hands-on experience integrating with LLM platforms (OpenAI, Azure OpenAI, Hugging Face, or equivalent).
 </li>
 <li>
 Working knowledge of data pipelines, API development, and prompt engineering.
 </li>
 <li>
 Demonstrated ability to balance strategic vision with hands-on execution.
 </li>
 <li>
 Experience influencing enterprise AI roadmaps, technology decisions, or platform strategy in partnership with executive leadership
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Opportunity to lead transformative AI initiatives at a leading healthcare organization.
 </li>
 <li>
 High visibility and impact &mdash; enabling enterprise-wide AI adoption.
 </li>
 <li>
 Collaborative, forward-thinking team and culture.
 </li>
 <li>
 Room to influence technology strategy and shape platform direction.
 </li>
 <li>
 Chance to operate at an enterprise leadership level and shape how AI is adopted across the organization
 </li>
 </ul>
 
 
 
 
 
 About us:
 
 
 
 Moodys NWC is a result-driven management consulting firm headquartered in the Seattle metropolitan area. We specialize in best-fit consulting based on client needs, with a focus on all aspects of digital product management. We have an active role that we are looking to assist our premier client with and are seeking an experienced consultant with the right set of values. For us, personality fit is paramount. We look for self-starters who are experienced yet flexible in their approach and who maintain a customer-focused outlook. Our consultants go above and beyond, stay focused on the end goal, and do what it takes to deliver results. If you believe you align with the above qualities, please review the opportunity and share why you are a strong fit for Moodys NWC.
 
 
 
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The salary for this position ranges from $160,000/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on factors including market location and may vary depending on knowledge, skills, and experience. Additional compensation includes medical, vision, and dental benefits.
 
 
 
 
 
 Moodys NWC believes in a culture of diversity, acceptance, and belonging. We are committed to equal opportunity in hiring without discrimination based on race, color, creed, national origin, sex, marital status, age, sexual orientation, gender identity, disability, medical status, or veteran status. Moodys NWC complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If you require reasonable accommodation during the application or interview process, please submit a contact form here: https://moodysnwc.com/contact-us/
 
</div>

Artificial Intelligence Consultant

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon's Price Perception and Evaluation team is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.
 
 
The Applied Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. 
 
Key job responsibilities 
<ul><li>Research and use of statistical techniques to create scalable solutions for business problems.</li><li>Design, build, and deploy effective and innovative ML solutions to provide low prices and increased selection for customers using scientifically-based methods and decision making.</li><li>Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation.</li><li>Publish and present your work at internal and external scientific venues.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience applying theoretical models in an applied environment</li><li>Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices</li><li>Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Price Perception and Evaluation Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.
 
 
We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale &mdash; owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on.
 
 
Key job responsibilities 
<ul><li>Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.</li><li>Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.</li><li>Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.</li><li>Research and implement novel machine learning and statistical approaches.</li><li>Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.</li></ul> 
About the team 
Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce &mdash; not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world's most customer-obsessed company, transforming the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building machine learning models or developing algorithms for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</li><li>Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting</li><li>Experience identifying opportunities to integrate AI solutions into products and services to drive business value.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, SPX AI Lab

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is building a world-class advertising business that delivers self-service performance advertising products driving merchandise discovery and sales. Our advertising solutions are strategically critical to our retail and marketplace businesses' long-term growth. We serve billions of ad impressions and generate millions of clicks daily while continuously breaking new ground in product innovation. We are a highly motivated, collaborative, and fun-loving group with an entrepreneurial spirit and bias for action. With broad latitude to experiment and innovate, the team is experiencing unprecedented growth and continuously exploring new ideas and opportunities. 
 
Key job responsibilities 
We're seeking a Software Development Engineer to join our Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB enables merchants, vendors, and brand owners to drive incremental sales through contextually relevant ads across Amazon properties (Amazon.com, Alexa, etc.) and third-party publishers. 
The CAX team specializes in developing sponsored conversational experiences powered by large language models (LLMs). We're pioneering multiple industry-first initiatives that, while complex and ambiguous, offer opportunities to create significant impact for our consumers, advertisers, and the business. 
 
As an engineer on our team, you will: 
 
<ul><li>Drive major product and engineering initiatives</li><li>Build large-scale, low-latency distributed systems</li><li>Develop ML infrastructure and LLM-based AI workflows</li><li>Partner with our science team to implement LLM models in production</li><li>Contribute to LLMOps</li><li>Design, build, and operate customer-facing functionality impacting hundreds of millions of shoppers worldwide</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</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>Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</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></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Software Development Engineer III, Sponsored Products and Brands

Explore 204+ Principal product manager platform and ml infra ai ml annapurna labs in Seattle this March. Find roles across top companies and apply now to boost your career.