Pinetree Research · 19 hours ago
Founding Machine Learning Researcher
Palo Alto, CA
Full-time
Hybrid
Senior LevelPinetree Research is a frontier lab focused on creating agents that work like humans. They are seeking a Machine Learning Researcher to work on core research problems in agentic systems and multimodal models, designing and evaluating novel ML methods for reliable computer use and interaction with complex interfaces.
Computer Software
Responsibilities
Conduct research on agentic ML systems, including planning, reasoning, tool use, and long-horizon execution
Design and evaluate learning methods for computer use, including vision-language models, multimodal perception, and UI understanding
Develop benchmarks, datasets, and evaluation frameworks for agent reliability, robustness, and safety
Experiment with fine-tuning, distillation, and reinforcement learning for real-world task execution
Analyze agent failures and propose principled fixes grounded in theory and empirical results
Collaborate closely with engineers to translate research ideas into production systems
Author internal research reports and, when appropriate, external publications
Qualification
Required
Strong background in machine learning, AI, or a related field
Ability to design rigorous experiments and analyze results critically
Comfortable working in fast-moving, ambiguous problem spaces
Preferred
PhD or industry research experience in agents, robotics, HCI, or applied ML
Familiarity with browser automation, web agents, or UI interaction models
Publications in NeurIPS / ICLR / ICML / ACL / EMNLP or other respected conferences or journals
Benefits
Opportunity to work on foundational problems in real-world AI agents
Direct ownership over research direction and impact
Close collaboration with a highly technical founding team
A culture that values rigor, clarity, and shipping real systems
Company
Pinetree Research
Pinetree Research is an AI research lab building the next generation of autonomous AI agents that can reliably use computers, software interfaces, and enterprise systems to complete real work.
Founded in 2026
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase