Maintain and support the CLO and Loans trading system and other internal applications.
Compensation
The base pay range for this position in New York is $100,000 - $150,000 annually. Pay may vary depending on job-related knowledge, skills, and experience. Equity and year-end bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and other benefits, dependent on the position offered.
Responsibilities
Maintain and support production, demonstration and test systems
Ensure high availability of systems
Resolve system problems in a timely and professional manner
Proactively learn and understand business needs
Develop or implement solutions to meet business needs
Build customer-facing applications and backend services for the XM Discover Studio team, delivering robust web-based solutions and improving customer experience.
Responsibilities
Design and ship simple, robust web-based solutions from concept to deployment
Ensure resilience and maintainability by writing automated unit tests, leading code reviews, and creating clear technical design specifications
Actively participate in daily stand-ups, backlog grooming, and planning poker, collaborating with teammates to unblock tasks and meet delivery commitments
Collaborate closely with product managers, tech-ops, and fellow engineers to turn real-world user feedback into immediate system improvements
The Senior Applied Scientist will lead the mission to empower sellers using machine learning and AI techniques to create state-of-the-art solutions, identify actionable business problem opportunities, and collaborate with engineering and business teams.
Compensation
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Responsibilities
Use machine learning and AI techniques to create scalable seller-facing solutions
Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
Design, development and evaluation of highly innovative models
Work closely with software engineering teams to drive real-time model implementations and new feature creations
Communicate with technical and business leadership to influence the scientific directions and advocate for the solutions
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
Applied Scientist, Trust and Store Integrity Science
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
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)
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)
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