Machine Learning Research Scientist
- Location
- San Mateo, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Doctorate
- Listed
- 23 days ago
Skills & highlights for this role
- reinforcement learning
- deep learning
- model training
- LLM fine-tuning
Also useful
- distributed training
- GPU clusters
Stated benefits & perks
- Unlimited pto
Role Description
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.
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
- Our comp is competitive against major LLM frontier lab packages
- Unlimited PTO and flexible working arrangements
- Conference attendance and publication support
Company Description
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.
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
We are an e-verify employer.
From Autoscience's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Machine Learning Research Scientist job at Autoscience located?
This Machine Learning Research Scientist position at Autoscience is located in San Mateo, CA (On-site). Always check Autoscience's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Research Scientist at Autoscience?
For the Machine Learning Research Scientist role, Autoscience highlights a doctorate; experience with reinforcement learning, deep learning, model training, LLM fine-tuning. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Research Scientist position at Autoscience?
This listing links directly to Autoscience's Ashby application page. You can apply directly on Autoscience's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.