AI Research Scientist

Skills

About the Role

You will conduct hands-on AI research in a high-uncertainty environment. You will design and train novel architectures, define benchmarks and loss functions, evaluate emerging research, and build proof-of-concept models. You will document findings and mentor engineers on the mathematical aspects of the models.

Requirements

• Have 5+ years of postdoctoral or industrial research experience, or equivalent university experience, with a track record of publications or significant model releases.
• Demonstrate mastery of linear algebra, calculus, and probability.
• Demonstrate deep proficiency in Python and deep learning frameworks.
• Hold a PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field.

Responsibilities

• Design and train novel architectures, including Transformers, State-Space Models, and Diffusion models, to solve complex business problems.
• Lead hypothesis testing by defining evaluation benchmarks and loss functions aligned with human intent.
• Review and apply or improve upon current research from ArXiv and academic conferences.
• Build proof-of-concept models that improve accuracy, speed, or reasoning capability.
• Document findings and mentor engineers on the mathematical nuances of models.

Benefits

• Comprehensive health, dental, and vision benefits package
• 401(k) match
• Equity options
• $200/month Health & Wellness stipend
• Continuing Education support
• $500/year Function Health subscription
• Free parking for in-office employees
• Flexible Time Off (FTO)
• Parental leave for eligible employees
• Supplemental life insurance