Machine Learning Research Scientist

Autoscience • Menlo Park, CA

100d

About The Position

Develop autonomous research systems that ideate, experiment, and publish scientific papers. You'll be working on the first and best AI system to automate scientific discovery in AI research.

Requirements

• Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 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.

Nice To Haves

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

Responsibilities

• Design and implement novel AI systems for automated research.
• Collaborate with development team to build and deploy production-ready research.
• RL post-train and finetune reasoning models to automate components of the ML scientific process.
• Publish findings in top-tier academic conferences and journals.
• Stay current with latest developments in AI research and automation.

Benefits

• Competitive salary and equity package
• Unlimited PTO and flexible working arrangements
• Conference attendance and publication support

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree