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# Applied Scientist, Machine Learning Accelerator

- **Company:** Amazon.com, Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Experienced
- **Salary:** $142,800.0 - $193,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Business Software, C++ (Programming Language), Data Mining, Distributed Systems, Python (Programming Language), Machine Learning, Parsing, Graphics Processing Unit (GPU), High Performance Computing, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Deep Learning, Model Validation
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=761031c79fc1a552

## About the Role

* 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, * 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

## Description

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


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