Machine Learning Research Scientist

Autoscience Institute; Menlo Park (CA); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Competitive salary and equity package

Unlimited PTO and flexible working arrangements

Conference attendance and publication support

Job summary

A pioneering research organization in Menlo Park is seeking an Entry-Level Research Scientist to develop AI systems for automating scientific discovery. You'll implement novel AI systems, collaborate with a team, and publish findings in leading academic conferences. Passion for AI and solid technical background in machine learning is essential. The role offers competitive salary, unlimited PTO, and support for conference attendance.

Qualifications

• Exceptional candidates encouraged to apply without formal degree.
• Research publications in top-tier AI/ML conferences required.
• Willingness to explore uncharted directions with minimal supervision.

Responsibilities

• Design and implement novel AI systems for automated research.
• Collaborate with development team to build production-ready research.
• Publish findings in top-tier academic conferences.

Skills

Expertise in training machine learning models

Passion for accelerating scientific discovery through AI

Building scalable and production-ready ML pipelines

Education

PhD in Computer Science or related field

Job 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 research.
• RL post‑train and fine‑tune reasoning models to automate components of 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 interest 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.

Details

• Seniority level: Entry level
• Employment type: Full‑time
• Job function: Other
• Industries: Technology, Information and Internet