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Staff Machine Learning Research Scientist Engineer Agents

United States, San Francisco 275000.00 - 350000.00 USD / Year · Job Posted February 20, 2026
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Job Description

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

Job Responsibility

  • Explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation
  • Contribute to impactful research publications on agents
  • Collaborate with customer researchers
  • Work alongside the engineering team to translate these advancements into real-world, scalable solutions

Requirements

  • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow
  • Adept at interpreting research literature and quickly turning new ideas into prototypes
  • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
  • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development
  • Strong written and verbal communication skills and the ability to operate cross-functionally

Nice to have

  • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax
  • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents
  • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc
  • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
  • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment

What we offer

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • A learning and development stipend
  • Generous PTO
  • Equity based compensation
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