Machine Learning Research Scientist

Role DescriptionThis 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.QualificationsEducationPhD 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.ResearchPublishing 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).TechnicalExpertise 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.CuriosityPassion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.Recommended QualificationsSystemsExperience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).ScienceAny background or proven interested in Automated Scientific Research is a plus.J-18808-Ljbffr