Machine Learning Research Scientist

Join a team building AI systems that can autonomously conduct machine learning research. You will develop systems that generate research ideas run experiments and improve models helping advance automated scientific discovery.

• Develop autonomous research systems that ideate experiment and improve customer models.
• Work with engineers to build and deploy production-ready research systems.
• Apply reinforcement learning and other post-training methods to reasoning models and automate parts of the machine learning research process.
• Track developments in AI research and research automation.

• Two to eight years of experience in AI research or engineering.
• A masters degree or PhD in computer science machine learning artificial intelligence or a quantitative field or equivalent research experience.
• Hands-on model training experience beyond building RAG or multi-agent systems with LLM APIs including reinforcement learning or post-training work on large language models agent models or genetic algorithms.
• Ability to independently ship production Python code and apply sound software engineering practices.
• Evidence of self-directed research such as exploring new directions with minimal supervision; top-tier ML publications or experience on a leading AI research team are valued.
• Experience with PyTorch distributed training or large-scale ML infrastructure is beneficial as is an interest in automated scientific research.

Base salary is $200000 to $450000 annually. Visa sponsorship is available.

On-site in San Mateo California United States.