Machine Learning Research Scientist

AutoScience
San Mateo, Menlo Park
Workplace: OnsiteFull timeUSD 200,000 - 300,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Curiosity","Collaboration","Communication","Problem-solving"]

Join a collaborative research team in the San Francisco Bay Area to develop autonomous AI research systems, publish and deploy production-ready ML experiments, and push the boundaries of AI-driven scientific discovery. You will work directly with the founder, implement RL/post-training improvements, and stay at the forefront of AI advancements in a hands-on, on-site role.

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FursaFursa
AutoScience
AutoScience
1 year ago

Machine Learning Research Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 35 minutes agoStatus: Live

Job Summary

Join a collaborative research team in the San Francisco Bay Area to develop autonomous AI research systems, publish and deploy production-ready ML experiments, and push the boundaries of AI-driven scientific discovery. You will work directly with the founder, implement RL/post-training improvements, and stay at the forefront of AI advancements in a hands-on, on-site role.
Location: San Mateo, Menlo Park
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 200,000 - 300,000 annually
Equity and Bonus:Equity
Perks:EquityPaid Leave

Key Requirements

  • •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.
Experience:AIMachine LearningResearchAutonomous systems
Education:PhD / Doctorate in Computer Science
Skills:CuriosityCollaborationCommunicationProblem-solving
Tech Stack:Deep learningReinforcement learningGenetic algorithmsDistributed model trainingProduction pipelines

Company Brief

AutoScience
Builds autonomous machine-learning research systems (an AI 'scientist' named Carl) that ideate, test hypotheses, run experiments and publish peer-reviewed ML research to accelerate model development and discovery.
Industry: AI & Machine Learning
Company Size: Micro (1 to 10 employees)
Growth: Early Stage Startup
Headquarters: San Francisco, United States
Founded: 2024
WebsiteGlassdoor