Machine Learning Research Scientist
SalaryNo pay range posted
LocationSan Mateo
Also inSan Francisco Bay Area
Work modeon-site
Typefull-time
SenioritySenior
DepartmentResearch
Company size4+ people
PostedSep 14, 2025 · 1y ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field
Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR) or equivalent industry experience at corporate AI research labs
Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms
Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision
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
Skills
deep learning
reinforcement learning
genetic algorithms
Benefits
Unlimited PTO
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.
Role Description
This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.
Responsibilities
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Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.
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Collaborate with the engineering team to build and deploy production-ready research systems.
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RL post-train and fine-tune reasoning models to automate components of the machine learning research process.
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Stay current with the latest developments in AI research and automation.
Qualifications:
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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.
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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).
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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.
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Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.
Recommended Qualifications
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Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).
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Science: Any background or proven interested in Automated Scientific Research is a plus.
Benefits & Perks
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Our comp is competitive against major LLM frontier lab packages
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Unlimited PTO and flexible working arrangements
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Conference attendance and publication support
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
Legal
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