• Companies
  • News
By technology
  • Python17.9k
  • AWS12.6k
  • Kubernetes9.1k
  • Docker8.7k
  • C++5.9k
  • PostgreSQL5.7k
  • SQL5.3k
By category
  • Backend Developer11.3k
  • DevOps Engineer3.4k
  • Machine Learning Engineer3.3k
  • Full Stack Developer3.2k
  • Data Engineer2.8k
  • Embedded Engineer2.2k
  • Frontend Developer854
By city
  • San Francisco, CA6.2k
  • New York, NY5.6k
  • Seattle, WA1.3k
  • Washington, DC1.2k
  • Toronto, ON1.2k
  • Boston, MA1k
  • Austin, TX1k
Work mode
  • On-site21.9k
  • Remote10.1k
  • Hybrid7.3k
Job type
  • Full-time38k
  • Contract597
  • Part-time525
  • Freelance214
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

漏 2023-2026 . All rights reserved.

Logos provided by Logo.dev
All jobs

Machine Learning Research Scientist

Autoscience 路 San Mateo

Extracted from the posting

Base
Not stated
Remote
On-site, San Francisco Bay Area
Stack
Python, Google Cloud Platform (company stack)

Full-time on-site Machine Learning Research Scientist in the San Francisco Bay Area, working directly with the founder. Develops autonomous research systems that ideate, experiment, and improve models, including RL post-training and fine-tuning of reasoning models. Requires PhD or equivalent research experience and publications at top AI/ML conferences or industry research labs.

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.

Company stack

This posting doesn鈥檛 list technologies. These are the ones Autoscience uses across its other roles.

PythonGoogle Cloud Platform
Autoscience
Autoscience
Website

Job details

TypeFull-time
Work ModeOn-site
LevelSenior
Location馃嚭馃嚫San Mateo, CA
PostedNov 06, 2026
Apply Now

Related jobs

MetroStar

Sr. AI/ML Engineer II (6883)

MetroStar
$200,000 - $240,000馃嚭馃嚫 Reston, VA +1Hybrid 路 Full-timePython 路 TensorFlow 路 Keras
SpaceXAI

Sr. Model Engineer, Voice

SpaceXAI
$220,000 - $357,000馃嚭馃嚫 Palo Alto, CAOn-site 路 Full-timePython 路 PyTorch 路 JAX
SpaceXAI

Sr. Model Engineer, Imagine

SpaceXAI
$220,000 - $357,000馃嚭馃嚫 Palo Alto, CAOn-site 路 Full-timePython 路 PyTorch 路 JAX