Machine Learning Research Scientist

This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

• 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., * Our comp is competitive against major LLM frontier lab packages
• Unlimited PTO and flexible working arrangements
• Conference attendance and publication support

Our Culture

We’re a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development

• Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.
• Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc).
• Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents.
• Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.

Recommended Qualifications

• Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).
• Science: Any background or proven interested in Automated Scientific Research is a plus.

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.