Develop Agentic Large Language Models (LLMs) and/or Vision Large Language Models (VLM) to unlock new shopping experiences.
Locations (2)
Seattle, Washington, United States
Palo Alto, California, United States
Compensation
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.
Responsibilities
Develop LLMs and VLMs for Amazon shopping
Apply reinforcement learning and LLM post‑training techniques
Collaborate with scientists, engineers, product managers, and technical program managers
Innovate on behalf of customers
Requirements
Master's degree or above in computer science, machine learning, engineering, or related fields
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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, WA, Seattle - 142,800.00 - 193,200.00 USD annually
Responsibilities
Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
Learn, explore and experiment with the latest machine learning advancements to create the best customer experience
Requirements
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Nice to have: leading large-scale AI transformation projects
Nice to have: strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP
Design, implement, and optimize control systems for phased array antennas, including algorithms for calibration, beamforming, signal processing, and high-rate data processing.
Responsibilities
Design and develop control software for antenna systems
Implement algorithms for calibration, beamforming, and localization
Develop high-rate data processing pipelines
Create APIs, databases, and IPC mechanisms
Simulate and verify software for test and validation
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Math, Physics, or related discipline
Nice to have: Strong problem-solving abilities
Nice to have: Excellent communication and collaboration skills
Nice to have: High mathematical maturity
Nice to have: Experience with automated testing frameworks
Hiring an engineer to build the customer lifecycle project, a high-priority platform that streamlines and scales internal business workflows from restaurant onboarding to customer success to sales and technical operations.
Compensation
Base salary range: $100,000–$130,000 per year, based on experience and skills.
Responsibilities
Design, build, and operate backend services that power onboarding, customer success, and sales workflows
Work with onboarding, operations, and sales teams to understand problems, clarify requirements, and deliver improvements from idea to launch
Design data models and APIs that stay reliable as business needs change
Build integrations with Salesforce and other business systems, handling authentication, permissions, data sync, and failure cases
Build AI-powered workflows that connect models with tools and APIs to retrieve information, assist users, and complete tasks with appropriate human review
As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds.
Locations (2)
United States
Latin America
Compensation
$140,000 and $180,000 USD. (The salary is only for US-based candidates)
Responsibilities
Design, build, and operate customer-facing AI platform services and product features primarily in Python
Build and evolve agentic harnesses, including agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks
Integrate agents and LLM-powered workflows into production systems with strong attention to reliability, correctness, latency, scalability, and cost
Evaluate models and providers for specific product use cases, using clear success criteria and abstractions
Own evaluation, tracing, observability, and quality feedback loops for AI features
Software Development Engineer, Amazon Demand Tech Trader Experience
Design and build backend services for an AI-powered conversational assistant for Amazon Marketing Cloud, owning end-to-end delivery of features, building scalable data pipelines, and ensuring operational excellence.
Compensation
USA, CO, Boulder - 143,700.00 - 194,400.00 USD annually
Responsibilities
Design and build core backend services powering an LLM-based conversational assistant
Own end-to-end delivery of features from system design through production deployment
Build scalable data pipelines and infrastructure that ingest and process petabyte-scale advertising data
Shape the future of how advertisers generate insights, build audiences, and optimize campaigns through AI
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
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)
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)
Applied ScientistNewAmazon · Seattle, US+1 more
Software Engineer (Portal)Newnorthwoodspace · Torrance, US
OpenStack Engineering ManagerNewCanonical - Jobs · Remote, Worldwide
Full Stack Engineer, Business Applications & AINewChowbus · Chicago, US
Senior Software EngineerNewCloudbeds · Remote, US+1 more