Machine Learning Research Scientist in Redwood City

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job DescriptionJob Description

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.

Key Responsibilities

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

Qualifications:

• 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.

Benefits & Perks

• Competitive salary and equity package
• 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. The team is a strong mix of fast investors and experienced builders. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development

We are an e-verify employer.

Powered by JazzHR

DDvEUUKyFS

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.