Principal AI Scientist

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Collaborate directly with the founder to define the scientific vision, research trajectory, and technical implementation.

• Create, execute, and refine model post-training techniques that convert high-throughput biological measurements into direct reward signals for biological language models.

• Design model training infrastructure alongside the technical founder.

• Construct, operate, and troubleshoot models, training processes, and evaluation metrics.

• Work alongside the experimental team to integrate laboratory measurements and model learning into a unified system.

• Innovate and publish novel reinforcement learning techniques and bio AI models.

• Assist in launching and potentially expanding the AI research initiative.

⛳️ Requirements

• PhD in machine learning, computational biology, or a related discipline with at least 2 to 5 years of industry research experience post-PhD.

• Accomplished researchers without a PhD are also encouraged to submit their applications.

• Experience in training models from the ground up, not merely fine-tuning or utilizing APIs.

• Proficient in managing real training sessions and adept at debugging them.

• Practical experience with generative diffusion models and/or transformer architectures.

• In-depth knowledge of contemporary reinforcement learning and preference-optimization techniques for deep learning.

• Proven track record of impactful research through publications, open-source contributions, deployed models, or similar indicators of achieving results.

• Highly self-motivated and capable of thriving in a close-knit, collaborative founding partnership.

• Comfortable navigating ambiguity and taking ownership of research.

• Enthusiastic about building infrastructure and expanding the team.

• Familiarity with biological research is a significant advantage.

• Experience in constructing and scaling training infrastructure on large GPU clusters is a notable advantage.

• Prior experience in team management and technical leadership is a substantial plus.

• Preference for candidates who can work on-site in NYC or the SF Bay Area.

• Must be legally authorized to work in the US.

• Candidates should indicate whether future sponsorship will be necessary.

🏝️ Benefits

• Opportunity for a co-founding leadership position in a future spinout, contingent upon project success and mutual alignment.

• Authorship of significant open-source datasets, methodologies, and models.

• Ample secured runway and dedicated GPU resources.

• Comprehensive benefits package including health insurance, a company-sponsored retirement plan, vision, dental, and more.