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Machine Learning Research Scientist

Autoscience Institute

San Mateo, CAFull-timePosted 1y agoStill listed 6 days ago

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At a glance

Compensation
No compensation found
Location
San Mateo, CA
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

Autoscience Institute is hiring a Machine Learning Research Scientist. Autoscience Institute is seeking a Machine Learning Research Scientist to develop AI systems that autonomously conduct AI research. The role involves working with the founder to create autonomous research systems, collaborating with the engineering team to deploy production-ready systems, and fine-tuning reasoning models to automate machine learning research. The ideal candidate will be passionate about accelerating scientific discovery through AI.

Key focus areas include Work directly with the founder to develop autonomous research systems, Collaborate with the engineering team to build and deploy production-ready research systems, and RL post-train and fine-tune reasoning models to automate components of the machine learning research process.

Successful candidates bring PhD Or Equivalent Research Experience, Top‑Tier Conference Publications Or Equivalent Industry Experience, and Experience Building Scalable Production‑Ready Machine Learning Pipelines. Important skills include RL Post-Train, Fine-Tune Reasoning Models, Stay Current With AI Research And Automation, Training Machine Learning Models, Deep Learning, and Reinforcement Learning. Preferred (not required): Building Scalable And Production-Ready Machine Learning Pipelines, Large-Scale Model Training, and Automated Scientific Research.

Skills & qualifications

RequiredNice to have

Skills

RL Post-TrainFine-Tune Reasoning ModelsStay Current With AI Research and AutomationTraining Machine Learning ModelsDeep LearningReinforcement LearningGenetic AlgorithmsCuriosityPassion for Accelerating Scientific Discovery Through AIWillingness to Explore Uncharted Directions With Minimal SupervisionBuilding Scalable and Production-Ready Machine Learning PipelinesLarge-Scale Model TrainingAutomated Scientific Research

Qualifications

PhD or Equivalent Research Experience in Computer SciencePhD or Equivalent Research Experience in Machine LearningPhD or Equivalent Research Experience in Artificial IntelligencePublishing in Top-Tier AI/ML ConferencesIndustry Experience at Corporate AI Research Labs

Benefits

Paid Time Off

Full job description

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.

  • 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

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.

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