# Applied Scientist, Machine Learning Accelerator at Amazon

Amazon is hiring an Applied Scientist, Machine Learning Accelerator in San Diego, United States. It pays $143k-$193k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/46305df3-a52e-4560-8894-1d671f5a8fc4?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. US, CA, San Diego.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 90 out of 100)
- Location: US, CA, San Diego
- Salary: $143k-$193k
- Posted: September 22, 2026
- Apply: https://jobsbylevel.com/go/46305df3-a52e-4560-8894-1d671f5a8fc4?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=applied-scientist-machine-learning-accelerator-at-amazon-c0e302

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/applied-scientist-machine-learning-accelerator-at-amazon-c0e302

## Description

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 team’s technical strategy by making insightful contributions to the team’s 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 Basic qualifications - PhD, or Master's 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 Preferred qualifications - 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

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