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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI”. A match may be a passing mention rather than the job itself. Titles only.
17 roles across 19 listings · show every listing
…As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine…
…Build the data foundation for GenAI, agentic AI, and advanced analytics: RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration, so the organization…
…at least 4+ years in driving Machine Learning & AI projects Good understanding of the latest GenAI agentic designs and frameworks like Langchain, Langgraph, etc…
…Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments…
…engineering team, fostering best practices in machine learning and large language model development. Continuous innovation : Stay abreast of the latest advancements in LLM research…
…Job Description We are seeking an exceptional, data-driven Senior Engineering Manager, Agentic & GenAI Benchmarking and Evaluations to establish and lead AI evaluation practices…
…Artificial Intelligence (GenAI) Forward Deployed Engineering (FDE) team, you will lead a squad of artificial intelligence and machine learning (AI/ML) engineers who bridge…
We are looking for a Machine Learning Engineer on the Data Intelligence team which is part of Amazon Customer Service (CS) team, you will…
…enterprise settings. - Open-source contributions: Active participation in AI/ML open-source communities or published research in relevant fields. - AWS Certifications: AWS Machine Learning…
…data programmatically through a thousand metrics and dimensions at high scale, we deliver the fundamental data powering AI agents, machine learning models, analytics engines…
…Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs. Productionize frontier agent techniques…
…Experience with scaling LLM systems (caching, batching, prompt/version governance, evaluation harnesses) Strong foundation in machine learning, deep learning, and statistical modelling, including model…
…Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public…
…engineering team, fostering best practices in machine learning and large language model development. Continuous innovation : Stay abreast of the latest advancements in LLM research…
…enterprise customers. Research cutting edge algorithms to integrate directly into our training stack. Design solutions that enable complex multi-agent systems to directly learn…
…our enterprise clients. As an ML Sys Research Engineer, you’ll work on building out the algorithms for our next-gen Agent RL training…
…engineering team, fostering best practices in machine learning and large language model development. Continuous innovation : Stay abreast of the latest advancements in LLM research…