Applied Scientist, Machine Learning Accelerator

Do you want to join an innovative team of scientists who develop Agentic AI LLM and deep learning based solutions to help Amazon provide the best seller experience across the entire Seller life cycle including recruitment growth support risk mitigation and provide the best customer and seller experience
Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience
Do you like to build end-to-end business solutions and directly impact the profitability of the company Do you like to innovate and create solutions that have cross-organizational impacts
If yes then you may be a great fit to join the Machine Learning Accelerator team.

Key job responsibilities
The scope of an Applied Scientist in the Machine Learning Accelerator (MLA) team is to research and prototype AI and Machine Learning applications that solve strategic business problems across Selling Partner Experience (SPX) domains. Additionally the scientist collaborates with engineers and business partners to design and implement solutions at scale that are of broad benefit to SPX organizations. They develop large-scale solutions for high impact projects introduce tools and other techniques that can be used to solve problems from various perspectives and show depth and competence in more than one area. They influence the teams technical strategy by making insightful contributions to the teams priorities approach and planning. They develop and introduce tools and practices that streamline the work of the team and they mentor junior team members and participate in hiring

- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building machine learning models or developing algorithms for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience in developing and deploying LLMs in production on GPUs Neuron TPU or other AI acceleration hardware

- Experience using Unix/Linux
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with LLM fine-tuning in-context learning or model evaluation
- Hands-on experience designing reward models or RL post-training pipelines (PPO/GRPO DPO) for LLMs or agents including preference-data collection and evaluation
- Experience building agentic AI systems tool use planning retrieval-augmented generation or multi-agent workflows
- Experience with researching and developing neuro-symbolic solutions and applications
- Publications at top ML/AI venues
- Experience partnering with product/engineering teams to deliver ML in large-scale production system

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 Companys 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 for more information. If the country/region youre applying in isnt 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 CA San Diego - 142800.00 - 193200.00 USD annually