AI Research Scientist
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.
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.
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.
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