aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

machine learning engineer Jobs in Seattle

machine learning engineer

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

aiml - applied ml engineer, data generation & verification Jobs in Seattle

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

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

aiml applied ml engineer data generation verification

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
The AWS Data Center Engineering - BIM &amp; AI Technologies team is pioneering the next generation of AI-powered design automation for AWS's global data center infrastructure. We're seeking a Senior Software Development Engineer with Building Information Modeling (BIM) domain expertise to architect and deliver innovative solutions that transform how data center design documentation is created, updated, and reviewed at scale.<br>
<br>
As an SDE III on this team, you'll lead the design and implementation of novel generative AI applications that serve architects, engineers, construction managers, and facility operators. Working alongside software engineers, applied scientists, UX designers, product managers, and industry domain experts, you'll architect scalable production-ready systems that integrate BIM platforms, desktop applications, cloud services, and AI technologies to accelerate facility design workflows. This is an opportunity to leverage your Architecture, Engineering, Construction, and Ownership (AECO) industry expertise alongside your advanced software engineering skills to productionize ML models, mentor junior engineers, and solve complex design automation challenges for the building engineering and construction industry at an unprecedented scale.
<br>
<br>
This role requires both deep technical leadership and the ability to bridge software engineering with domain expertise in Building Information Modeling (BIM) and the AECO (Architecture, Engineering, Construction, and Ownership) industry. You will define the technical vision and roadmap for AI-native design automation, balancing innovation with practical implementation while ensuring alignment with broader organizational goals. This is a greenfield opportunity to build systems that will fundamentally change how Amazon designs and delivers data center facilities worldwide.
<br>
<br>
Key job responsibilities<br>
<ul><li>Design and architect scalable solutions for complex problems in the BIM and design automation space, balancing technical excellence with business impact</li><li>Lead the development of new features and services that deliver data center design projects faster while maintaining high quality standards</li><li>Write clean, maintainable, and well-documented code following software engineering best practices and establish coding standards for the team</li><li>Collaborate with applied scientists to productionize ML models for BIM and AECO applications, ensuring robust deployment and monitoring</li><li>Work closely with product, design, science, and AECO subject matter experts to deliver novel BIM and AI solutions</li><li>Design and implement integrations between BIM platforms (e.g., Autodesk Platform Services, Revit, etc.) and AWS services with focus on reliability and scalability</li><li>Implement human-in-the-loop (HITL) workflows that combine engineering expertise with AI automation, ensuring AI systems augment rather than replace professional judgment</li><li>Drive technical discussions and build consensus on architectural decisions within your team and across partner teams</li><li>Mentor junior engineers through code reviews, design discussions, and knowledge sharing</li><li>Advocate for critical customers and stakeholders during team prioritization and planning, influencing roadmap decisions</li></ul><br>
About the team<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>
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>
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>
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 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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of non-internship professional software development experience</li><li>7+ 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>7+ years of experience developing Building Information Modeling (BIM) software solutions for the AECO industry</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>7+ 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 with AI/ML technologies and their practical applications in AECO industry problems (e.g., building design engineering automation, compliance checking, or construction documentation workflows)</li><li>Experience with BIM software platforms and APIs such as Autodesk Revit, Autodesk Forma, Autodesk Platform Services, or similar AECO industry tools</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>
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, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Industrial Robotics is seeking exceptional applied science talent to develop AI and machine learning systems that will enable the next generation of advanced manufacturing capabilities at unprecedented scale. We're building revolutionary software infrastructure that combines cutting-edge AI, large-scale optimization, and advanced manufacturing processes to create adaptive production control systems.<br>
<br>
As a Senior Applied Scientist, you will develop and improve machine learning systems that enable real-time manufacturing flow decisions. You will leverage state-of-the-art optimization and ML techniques, evaluate them against representative manufacturing scenarios, and adapt them to meet the robustness, reliability, and performance needs of production environments. You will invent new algorithms where gaps exist. You'll collaborate closely with software engineering, manufacturing engineering, robotics simulation, and operations teams, and your outputs will directly power the systems that determine what to build next, where to allocate resources, and how to maximize throughput.<br>
<br>
The ideal candidate brings deep expertise in optimization and machine learning, with a proven track record of delivering scientifically complex solutions into production. You are hands-on, writing significant portions of critical-path scientific code while driving your team's scientific agenda. If you're passionate about inventing the intelligent manufacturing systems of tomorrow rather than optimizing those of today, this role offers the chance to make a lasting impact on the future of automation.<br>
<br>
Key job responsibilities<br>
<ul><li>Identify and devise new scientific approaches for constraint identification, dispatch optimization, WIP release control, and predictive flow intelligence when the problem is ill-defined and new methodologies need to be invented</li><li>Lead the design, implementation, and successful delivery of scientifically complex solutions for real-time manufacturing flow optimization in production</li><li>Design and build ML models and optimization algorithms including constraint prediction, starvation risk forecasting, and dispatch optimization</li><li>Write a significant portion of critical-path scientific code with solutions that are inventive, maintainable, scalable, and extensible</li><li>Execute rapid, rigorous experimentation with reproducible results, closing the gap between simulation and real manufacturing environments</li><li>Build evaluation benchmarks that measure model performance against manufacturing outcomes including constraint utilization and throughput rather than traditional ML metrics alone</li><li>Influence your team's science and business strategy through insightful contributions to roadmaps, goals, and priorities</li><li>Partner with manufacturing engineering, robotics simulation, and applied intelligence teams to ensure scientific approaches are grounded in operational reality</li><li>Drive your team's scientific agenda and role model publishing of research results at peer-reviewed venues when appropriate and not precluded by business considerations</li><li>Actively participate in hiring and mentor other scientists, improving their skills and ability to deliver</li><li>Write clear narratives and documentation describing scientific solutions and design choices</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>5+ years of building machine learning models or developing algorithms for business application experience</li><li>Experience delivering products to volume production</li><li>PhD in computer science, operations research, machine learning, industrial engineering, or a related quantitative field, or Master's degree plus 4+ years building ML models and algorithms in applied settings</li><li>Deep expertise in one or more of: combinatorial optimization, reinforcement learning, constraint programming, or stochastic modeling</li><li>Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines</li><li>Demonstrated technical contributions through publications, patents, or impactful production systems</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>8+ years of experience in applied science or research with progressive scope and impact</li><li>Experience with manufacturing systems, production scheduling, supply chain optimization, or industrial process control</li><li>Experience with Theory of Constraints or flow-based production optimization</li><li>Experience with real-time decision systems that operate under uncertainty</li><li>Experience with sim-to-real transfer or physics-informed machine learning</li><li>Experience with AWS services including SageMaker, and familiarity with MLOps practices</li><li>Experience with AI-native development practices and AI coding assistants</li><li>Knowledge of manufacturing execution systems (MES), SCADA, ERP, or related industrial software</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>
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, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, Industrial Robotics Group

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Build the ML-powered measurement systems that help advertisers understand the true value of their ad spend &mdash; processing over 50 billion events per day to deliver attribution metrics that directly inform billions of dollars in advertiser decisions. If you're energized by large-scale data challenges, privacy-forward ML, and work that has immediate, measurable business impact, this is it.<br>
<br>
The Modeled Attribution team operates one of the largest big data analytics systems at Amazon, using AWS services (EMR with Spark, SageMaker, Kinesis, ECS) to accurately attribute conversions and predict the long-term impact of advertising on customer behavior. As privacy regulations tighten and deterministic identity signals become increasingly limited, we leverage advanced modeling techniques to maintain measurement accuracy &mdash; even when direct user-level tracking is unavailable. We are constantly inventing new ways to improve accuracy, expand coverage to new ad surfaces, and stay ahead of our growing scale, all while maintaining full privacy compliance. It is always Day 1 for us.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and build next-generation modeling capabilities in partnership with technical leaders
</li><li>Own and operate business-critical systems end-to-end at massive scale &mdash; processing petabytes of data daily
</li><li>Collaborate with product managers and stakeholders to define, develop, and launch highly-requested advertiser features directly to customers
</li><li>Work with petabyte-scale datasets to answer complex advertiser and product questions that drive measurement improvements
</li><li>Collaborate cross-functionally with SDEs, scientists, program managers, and product managers to deliver results across the full stack</li></ul></div><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 Object Oriented Design experience</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>
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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Measurement, AdTech, and Data Science (MADS)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You&rsquo;ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.<br>
<br>
Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! We're looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and architect AI-powered agentic solutions that help candidates navigate Amazon's hiring process, including scoping requirements, identifying dependencies and constraints, and creating robust scientific and technical designs that balance candidate experience with system scalability.</li></ul><br>
<ul><li>Implement and deploy conversational AI agents leveraging state-of-the-art LLM and GenAI technologies to enable candidates to explore job opportunities, understand role requirements, and receive personalized guidance throughout their hiring journey.</li></ul><br>
<ul><li>Develop rigorous evaluation frameworks to measure agent effectiveness, candidate satisfaction, and hiring outcomes&mdash;continuously iterating on models to improve accuracy, fairness, and user experience across millions of candidate interactions.</li></ul><br>
<ul><li>Collaborate cross-functionally with Research Scientists, Software Engineers, and Product teams to integrate agentic solutions into Amazon's candidate-facing platforms, ensuring seamless deployment and alignment with broader Talent Acquisition goals.</li></ul><br>
<ul><li>Drive innovation in agentic AI research by staying current with advances in NLP, LLMs, and autonomous agent architectures, while contributing to the scientific community through publications, internal tech talks, and knowledge sharing.</li></ul><br>
About the team<br>
<br>
Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. You'll be at the intersection of people, data, and technology&mdash;solving fascinating problems that directly impact how we hire the best talent globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></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 programming in Java, C++, Python or related language</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience applying theoretical models in an applied environment</li><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</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>
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, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's Sponsored Products and Brands is building the next generation of AI-powered advertiser controls that help millions of advertisers optimize their campaigns. We're looking for a Software Development Engineer II to join our Advertiser Controls team, where you'll design and build the bidding controls and recommendations that directly impact how advertisers create, optimize, and grow their business on Amazon.<br>
<br>
In this role, you'll own the development of three critical platform capabilities. First, you will build the AI engineering infrastructure that enables our bidding systems&mdash;developing systems for model fine-tuning, reinforcement learning, model inferencing and preference optimization, while creating evaluation frameworks that ensure safety, reliability, and trust at scale. Second, you will interface agentic architectures that allow AI systems to work together seamlessly, including agent-to-agent communication protocols for discovery, negotiation, and task handoff, lifecycle management for agent sessions, and state management frameworks that persist context across multi-step workflows. Third, you will design and build experimentation systems that support multiple concurrent online experiments, accelerating our team's ability to test new bidding strategies and learn from real advertiser behavior.<br>
<br>
As an SDE2, you'll work as an autonomous contributor. You will work backwards from advertiser needs&mdash;collaborating with product managers, scientists, and other engineers to understand business problems, then translating those into technical solutions. While you'll make independent decisions on implementation, you'll seek guidance from senior engineers and principals when facing complex architectural tradeoffs or ambiguous technical challenges where the business problem is clear but the path forward requires exploration.<br>
<br>
The work you do will have direct, visible impact. This infrastructure will power the AI systems that help a small business owner optimize their first campaign and enable enterprise brands to manage millions in ad spend. You'll be building customer-facing products where your technical decisions translate directly into advertiser success and the products customers discover on Amazon.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and develop the Agentic platform using Gen AI/ML technologies to deliver low-latency, secure advertiser experiences</li><li>Build scalable systems that process millions of data points and optimize for cost efficiency through resource utilization, token consumption, and memory management</li><li>Develop conversational AI and natural language interactions for advertiser bidding guidance</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across the advertising ecosystem</li><li>Identify and eliminate root causes of operational issues with permanent fixes; proactively improve team operations, tooling, and processes</li><li>Write high-quality, maintainable code with clear documentation</li><li>Provide meaningful code reviews, mentor engineers, and train new teammates on system architecture and operations</li></ul><br>
What we're looking for:
<br>
<br>
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications
</li><li>Strong software engineering skills with experience in distributed systems and cloud technologies
</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
</li><li>Track record of delivering innovative solutions that drive business impact
</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul><br>
About the team<br>
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"><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>Experience programming with at least one software programming language</li><li>Strong technical fluency in Generative AI, including a deep understanding of large language models (LLMs), model fine tuning, prompt engineering, Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), AI model trade-offs (e.g., model size, latency, cost, and output quality).</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>Master's degree or equivalent</li><li>Experience developing, deploying and managing AI products at scale</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>
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, NY, New York - 158,100.00 - 213,800.00 USD annually<br>
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Sponsored Products and Brands

Zoom Communications

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
<br><div><p><b>What you can expect</b></p><p>
We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.</p><p></p><p><b>
About the Team</b></p><p>
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li><p>Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.</p></li>
<li><p>
Developing prompt engineering frameworks and techniques for reliable agent behavior.</p></li>
<li><p>
Implementing safety mechanisms and oversight protocols for autonomous systems.</p></li>
<li><p>
Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models.</p></li>
<li><p>
Building robust testing frameworks for agent behavior validation.</p></li>
</ul><p></p><p><b>
What we&rsquo;re looking for:</b></p><ul>
<li><p>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field</p></li>
<li><p>
Have 5+ years of experience in ML engineering</p></li>
<li><p>
Exhibit expertise in NLP and transformer architectures</p></li>
<li><p>
Core stack: Python, Java, C++, or other programming languages for ML development.</p></li>
<li><p>
Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain</p></li>
<li><p>
Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.</p></li>
<li><p>
Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)</p></li>
</ul><p></p><p><b>
Salary Range or On Target Earnings:</b></p><p></p><p>
Minimum:</p>
$137,700.00<p></p><p>
Maximum:</p>
$275,400.00<p></p><p>
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.</p><p></p><p>
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.</p><p></p><p>
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.</p><p></p><p><b>
Ways of Working</b><br>
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.</p><p></p><p><b>
Benefits</b><br>
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.</p><p></p><p><b>
About Us</b><br>
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.<br>
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.</p><p><b><br>
Our Commitment
</b></p><p>At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.</p><p></p><p>
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.</p><p></p><p>
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</p><p></p><p>
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application &ndash; take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.</p><p></p><p>
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.</p></div><p></p>

Machine Learning Engineer

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
<br><div><p><b>What you can expect</b></p><p>
We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
</p><p></p><p><b>About the Team</b></p><p>
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li><p>Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.</p></li>
<li><p>
Developing prompt engineering frameworks and techniques for reliable agent behavior.</p></li>
<li><p>
Implementing safety mechanisms and oversight protocols for autonomous systems.</p></li>
<li><p>
Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models.</p></li>
<li><p>
Building robust testing frameworks for agent behavior validation.</p></li>
</ul><p></p><p><b>
What we&rsquo;re looking for:</b></p><ul>
<li><p>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field</p></li>
<li><p>
Have 5+ years of experience in ML engineering</p></li>
<li><p>
Exhibit expertise in NLP and transformer architectures</p></li>
<li><p>
Core stack: Python, Java, C++, or other programming languages for ML development.</p></li>
<li><p>
Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain</p></li>
<li><p>
Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.</p></li>
<li><p>
Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)</p></li>
</ul><p></p><p><b>
Salary Range or On Target Earnings:</b></p><p></p><p>
Minimum:</p>
$137,700.00<p></p><p>
Maximum:</p>
$275,400.00<p></p><p>
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.</p><p></p><p>
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.</p><p></p><p>
We also have a location based compensation structure; there may be a different range for candidates in this and other locations</p><p>
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Anticipated Position Close Date:</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
07/24/26<p></p><p><b>
Ways of Working</b><br>
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.</p><p></p><p><b>
Benefits</b><br>
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.</p><p></p><p><b>
About Us</b><br>
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.<br>
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.</p><p><b><br>
Our Commitment
</b></p><p>At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.</p><p><br>
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</p><p></p><p>
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.</p></div><p></p>

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