Machine Learning Research Scientist

The role

You will work with the founder to develop autonomous research systems that ideate, experiment, and improve customer models. You will collaborate with the engineering team to build and deploy production-ready research systems and RL post-train and fine-tune reasoning models.

What you will do

• 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

Required qualifications

• 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, etc) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc)
• 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

Nice to have

• Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs)
• Any background or proven interested in Automated Scientific Research

Benefits

• Comp is competitive against major LLM frontier lab packages
• Unlimited PTO
• Flexible working arrangements
• Conference attendance and publication support

About the company

Autoscience Institute creates AI systems that autonomously conduct AI research. They recently announced the first AI agent to autonomously create peer-reviewed literature.