Machine Learning Research Scientist
San MateoFull-timePosted 3mo ago
About the role
Full-time on-site research role in the San Francisco Bay Area focused on developing autonomous research systems for AI/ML discovery and production-ready deployment.
Responsibilities
- Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.
- Collaborate with the engineering team to build and deploy production-ready research systems.
- RL post-train and fine-tune reasoning models to automate components of the machine learning research process.
- Stay current with the latest developments in AI research and automation.
Qualifications
- PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field (exceptional candidates with strong contributions considered without formal degree)
- Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR) or equivalent industry experience at corporate AI research labs (e.g., Microsoft, Google, Nvidia, TRI)
- Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms (note: does not include building multi-agent systems using LLM APIs or RAG-based agents)
- Curiosity and willingness to explore uncharted directions with minimal supervision to accelerate scientific discovery
Skills
Required:Machine LearningCuriosity/Exploration
Nice to have:Production ML PipelinesResearch Publication
Benefits
- Our comp is competitive against major LLM frontier lab packages
- Unlimited PTO and flexible working arrangements
- Conference attendance and publication support
Last updated Jul 16, 2026. Interested? Apply on the company site.
About Autoscience
Automate AI Research
Autoscience builds AI systems that train state-of-the-art models for frontier and applied AI labs.
frontier research lab AI models AI R&D enterprise ML AI Observability
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