aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

applied scientist ii- recruiting ai agents, recruiting agents & candidate voice

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

applied scientist ii- recruiting ai agents, recruiting agents & candidate voice Jobs in Seattle

machine learning engineer

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>
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>

Machine Learning Engineer

Amazon.com

<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>5+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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>

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

<div>
 <strong>
  <span>
   About xAI
  </span>
 </strong>
 <p>
  <span>
   xAI&rsquo;s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
  </span>
  <span>
   Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
  </span>
  <span>
   We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company&rsquo;s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
  </span>
  <span>
   All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
  </span>
 </p>
 ABOUT THE ROLE:
 <p>
  As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video). Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.
 </p>
 RESPONSIBILITIES:
 <ul>
  <li>
   Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences).
  </li>
  <li>
   Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data.&nbsp;
  </li>
  <li>
   Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence.
  </li>
  <li>
   Implement efficient algorithms for state-of-the-art model performance, including real-time inference, distillation, and scalable serving for visual content.
  </li>
  <li>
   Develop scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.
  </li>
  <li>
   Collaborate cross-functionally to integrate AI solutions into production and rapidly iterate based on user feedback.
  </li>
 </ul>
 BASIC QUALIFICATIONS:
 <ul>
  <li>
   Track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling.
  </li>
  <li>
   Experience in data-driven experiment designs, systematic analysis, and iterative model debugging.
  </li>
  <li>
   Experience developing or working with large-scale distributed machine learning systems.
  </li>
  <li>
   Ability to deliver optimal end-to-end user experiences.
  </li>
  <li>
   Hands-on contributor with initiative, excellence, strong work ethic, prioritization skills, and excellent communication.
  </li>
 </ul>
 PREFERRED SKILLS AND EXPERIENCE:
 <ul>
  <li>
   Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems.
  </li>
  <li>
   Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray, and related large-scale frameworks.
  </li>
  <li>
   Domain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video).
  </li>
  <li>
   Experience with agentic RL training, controllable/long-horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains).
  </li>
 </ul>
 COMPENSATION AND BENEFITS:
 <p>
  $180,000 - $440,000 USD
 </p>
 <p>
  Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.
 </p>
 <p>
  <em>
   xAI is an equal opportunity employer. For details on data processing, view our&nbsp;
  </em>
  <em>
   Recruitment Privacy Notice.
  </em>
 </p>
</div>


Member of Technical Staff - Imagine Model

<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

Outreach

<div>
 <strong>
  About Outreach
  <br/>
  <br/>
 </strong>
 Outreach, founded in 2014, is the only complete
 <strong>
  agentic AI
 </strong>
 platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Today, data is everywhere, but only those who truly know how to use it effectively will succeed. Outreach believes there are large swaths of value still locked in sales operations data and we are putting an effort behind building out the best team to help Outreach and our customers succeed through the use of data. As our customer base grows, the desire for more insights, better coaching, and improvements in efficiencies outpace the supply. The Analytics team is focused on Analytics, Coaching Insights and Workflow optimization. This is a critical role that has a unique chance to build outcome-driven reports and analytics to guide our customers, improve their productivity and have a bigger impact on their revenue growth.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 This is a growing team within Outreach. This role would set the bar for engineering and operational excellence, team culture, business impact and hiring standards. Our customer base is yearning for more insights and this team will have a large impact on revenue, operational costs, and coaching efficiencies. This team will span multiple functions including machine learning, frontend, backend engineering and data engineering. The Analytics team will work closely with Data Science to leverage models for optimization, as well as develop their own models, the Data Platform team to shape data efficiently, the Product Management and User Interface Designers to surface data in an effective way.
 <br/>
 <br/>
 <strong>
  Our Vision Of You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of professional software development experience
  </li>
  <li>
   You have experience with shipping at least 1 major feature into production
  </li>
  <li>
   You are passionate about using analytics to drive the understanding, growth, and success of a product
  </li>
  <li>
   You are hands on, able to quickly pick up new tools and languages, excited about building things and experimenting, always looking to sharpen and adapt your skills. You have a bias for using the right tools to get a job done with maximum efficiency.
  </li>
  <li>
   You have experience making tradeoffs between speed and accuracy
  </li>
  <li>
   Proficiency in a modern language such as golang, Java, Python, C#, etc
  </li>
  <li>
   You have proficiency in at least one of the SQL languages (MSSQL, MYSQL, Postgres, etc)
  </li>
  <li>
   You go above and beyond to help your team
  </li>
  <li>
   You are honest, admit mistakes, and own fixing them
  </li>
  <li>
   Comfortable working directly with data analytics to bridge business requirements with data engineering
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience with AI coding assistants, AI-based testing tools, and automation frameworks used in modern software engineering.
  </li>
  <li>
   Strong knowledge of development workflows including planning, coding, testing, CI/CD, and deployment.
  </li>
  <li>
   Experience with modern cloud environments and AI infrastructure (AWS, Azure, or GCP).
  </li>
  <li>
   Understanding of how to connect AI systems with enterprise data sources (documentation systems, code repositories, ticketing systems).
  </li>
  <li>
   Ability to identify opportunities where AI can accelerate development processes.
  </li>
  <li>
   Knowledge of responsible AI usage, data privacy, and model governance in enterprise environments.
  </li>
  <li>
   Experience in large scale distributed data systems
  </li>
  <li>
   Experience collaborating with data scientists
  </li>
  <li>
   Experience working in a start-up or building a product in a new category
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why You&rsquo;ll Love It Here
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible time off
  </li>
  <li>
   401k to help you save for the future
  </li>
  <li>
   Generous medical, dental, and vision coverage for full-time employees and their dependents
  </li>
  <li>
   A parental leave program that includes options for a paid night nurse, and a gradual return to work
  </li>
  <li>
   Infertility/ assisted reproductive services benefit
  </li>
  <li>
   Employee referral bonuses to encourage the addition of great new people to the team
  </li>
  <li>
   Snacks and beverages in the Office, along with fun events to celebrate
  </li>
  <li>
   Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
   <br/>
   <br/>
  </strong>
 </em>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 <br/>
 <br/>
 The annual base salary range for this role is $130,000-$150,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.
</div>


Software Engineer, Analytics Platform

<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

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>
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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)

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