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Added 1 min ago
A
Director, Product Management (Consumer)
Affirm
Remote, United States
- $300,000 to $360,000 USD / year
AI/LLM Fluency: Familiarity with AI-native product development, including agentic patterns and LLM-powered discovery experiences, to lead our highest-leverage bets in search
Added 1 min ago
Software Engineer - AI
PNC
Pittsburgh, PA · Birmingham, AL · Denver, CO · Strongsville, OH · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 1 min ago
Quantitative Analytics & Model Analyst Senior - Credit Loss Forecasting (CLF)
PNC
Pittsburgh, PA · Washington, DC · Charlotte, NC · East Brunswick, NJ · Cleveland, OH · Tysons Corner, VA
Evaluate and apply generative AI, and LLM-based capabilities where appropriate to improve analytics, model operations, monitoring, and documentation, with appropriate testing, security,…
Added 1 min ago
Artificial Intelligence Software Engineer
PNC
Pittsburgh, PA · Birmingham, AL · Denver, CO · Strongsville, OH · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 1 min ago
Software Engineer - AI Agents / Generative AI
PNC
Pittsburgh, PA · Birmingham, AL · Denver, CO · Strongsville, OH · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 3 mins ago
Senior Software Engineer, AI Platform - Prism
SoFi
Seattle, WA
Hands-on experience developing with or integrating AI-assisted developer tools, LLM APIs, prompt engineering patterns, or tool-execution frameworks.
Added 5 mins ago
Software Engineer III
Assurity
Lincoln, NE
Added 5 mins ago
Software Engineer II
Assurity
Lincoln, NE
…of users through production, including services, consoles, LLM-integrated workflows, and n8n flows, and writing code by hand where the task, platform, or quality calls for…
Added 5 mins ago
Advanced Forward Engineering - Implementation Engineer - Senior
EY
Little Rock, AR · Rogers, AR
Practical experience with modern AI application stacks (e.g., LLM‑backed systems, agentic workflows, orchestration frameworks).
Added 5 mins ago
Director - Customer Response Engineering
Trellix
Little Rock, AR
Practical use of AI or LLM tools in debugging, triage, or engineering workflows.
Added 13 mins ago
Product Marketing Manager
AssemblyAI
United States
3–5 years in B2B product marketing, ideally with experience owning launches and positioning at a developer-focused, API-first, or AI company. We value non-traditional paths (former sales…
Added 13 mins ago
Growth Marketing Manager, Paid Demand & ABM
AssemblyAI
United States
…Speech-to-Text, Text-to-Speech with instant voice cloning, LLM Gateway, Speech Understanding, and the Dictation API, with more launches on the way. Our buyers pick an API on features and…
Added 22 mins ago
Research Software Engineer
Dartmouth College
NH
…and engage with collaborators at scientific conferences and developer sprints are available for those who enjoy them and have content to…
Added 27 mins ago
SC
AI Engineer II
Smart Circle International
Remote, United States
- $125,000 to $150,000 USD / year
Design, deploy, and scale AI, GenAI, and LLM-based solutions across business units
Added 29 mins ago
GC
AI/ML SME
Globenet Consulting Corp
BELLEVUE, WA
- $140,000 to $165,000 USD / year
Practical experience building Generative AI, LLM, or machine learning applications.
Added 29 mins ago
Postdoctoral Associate - Center for Biomedical Informatics and Health Artificial Intelligence
Rutgers University-New Brunswick
NJ
● Peer-reviewed publications on LLM-assisted systematic or scoping reviews, automated evidence synthesis, or scientific claim verification.
Added 30 mins ago
Sr. Machine Learning Engineer
Amazon.com Services LLC
Seattle, WA · Arlington, VA · New York, NY
…covering large-scale training systems, real-time inference and the LLM-based architectures that support next-generation GenAI workloads at Amazon Ads…
Added 30 mins ago
SDEII Specialist GenAI Tooling, Specialist Technology Team (STT), AWS WWSO SA Field Initiatives
Amazon Web Services, Inc.
Jersey City, NJ · New York, NY
…retrieval-augmented generation, multi-agent orchestration, and LLM evaluation at AWS scale, using the AI services AWS builds for its customers. You will also help raise the engineering bar…
Added 32 mins ago
Senior Data Scientist, Artist-First AI Music lab
Spotify
Remote, United States
You have significant hands-on experience in advanced analytics or data science, ideally in a domain involving LLM evaluation, user-generated content, or complex user behavior.
Added 33 mins ago
AI Operations, Applied AI Research and Design Developer
Apple
Cupertino, CA
Hands-on experience building AI applications on LLM APIs (prompting, structured outputs, RAG, or tool-using workflows) through coursework, research, internships, or projects, plus judgment…
Added 34 mins ago
Sr. Data Scientist
ACE American Insurance Company
Jersey City, NJ · Simsbury, CT · Philadelphia, PA
Experience with Prompt Engineering, Chunking, LLM evaluation techniques
Added 34 mins ago
Staff Applications Security Engineer
Fortinet
Sunnyvale, CA
Strong understanding with AI&ML & LLM concepts like RAG, Agentic Workflows, MCPs, Skills, AI Red Teaming, AI Guardrails and Secure AI development and deployment strategies.
Added 36 mins ago
Data Scientist
Fairview Health Services
Minneapolis, MN
…communicates evidence-based technical feedback. Generative AI and LLM capabilities complement the role’s core statistical and machine-learning…
Added 37 mins ago
KC
Software Engineer - Test Automation
KLA Corporation
Milpitas, CA
- $117,800 to $200,300 USD / year
Use intelligent algorithms, e.g. LLM, and business logic to find the root cause of software failures. Present them in an actionable manner through Power BI, dashboards, and other reporting…
Added 42 mins ago
Advanced Forward Engineering - Implementation Engineer - Senior
EY
Washington, DC
Practical experience with modern AI application stacks (e.g., LLM‑backed systems, agentic workflows, orchestration frameworks).

Amazon.com Services LLC

Sr. Machine Learning Engineer

Seattle, WA, United States
Arlington, VA, United States
New York, NY, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

The Ad Response Prediction team builds the machine learning systems that decide which ads are most relevant to shoppers across every Amazon platform and surface worldwide. You'll own the architectural direction of the ML infrastructure behind ad relevance, covering large-scale training systems, real-time inference and the LLM-based architectures that support next-generation GenAI workloads at Amazon Ads scale.

The team sits at the core of how Sponsored Products & Brands (SPB) is using generative AI to change advertising. The models and infrastructure we build directly determine ad relevance across Amazon's entire advertising surface. You'll work closely with applied scientists to take models from training and evaluation through deployment and serving. You'll also shape ML infrastructure practices beyond your immediate team.

Key job responsibilities

Lead the development of LLM inference infrastructure for next-generation GenAI workloads at Amazon Ads scale: define the technical strategy, evaluate tradeoffs and deliver production-ready solutions
Own the architectural direction of large-scale ML training and real-time inference systems, driving improvements in scalability, automation and efficiency across the organization
Partner with applied scientists to design and optimize end-to-end ML pipelines, from model training and evaluation through deployment and serving, so models perform reliably at massive scale
Influence technical direction beyond your team by establishing ML infrastructure best practices and contributing to cross-team architectural decisions
Make principled tradeoff decisions on complex, ambiguous problems in a fast-moving GenAI space, bringing clarity and delivering results independently
Mentor engineers across the team and be the technical resource others seek out for ML infrastructure expertise

About the team The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through 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.

The Ad Response Prediction team within SPB is at the core of this work. The models and infrastructure we build directly determine ad relevance across Amazon's entire advertising surface. We're a collaborative, high-ownership team that moves fast and builds ML systems that operate at internet scale. Basic qualifications

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team Preferred qualifications
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent

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’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’re applying in isn’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 & AD&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, Palo Alto - 193,300.00 - 261,500.00 USD annually USA, VA, Arlington - 168,100.00 - 227,400.00 USD annually USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually

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More about this job

Skills

Machine learning
ML
AdRelevance
Software development
Computer science
Customer service
Recruitment
Mental health

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