Scientist Jobs

About The Position

Requirements

• Experience: 5+ years of post-doc or industrial research experience or equivalent university time with a deep experience that matches WIL objectives to include with a track record of publications or significant model releases.
• Technical Depth: Mastery of linear algebra, calculus, and probability; deep proficiency in Python and deep learning frameworks.
• Education: PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field.

Responsibilities

• Algorithm Development: Design and train novel architectures (e.g., Transformers, State-Space Models, Diffusion) to solve complex business problems.
• Experimental Design: Lead the hypothesis-testing phase, defining evaluation benchmarks and loss functions that align with human intent.
• Literature Leadership: Stay at the bleeding edge of ArXiv and academic conferences (NeurIPS, ICML, CVPR) to implement or improve upon the latest research.
• Prototyping: Build "proof-of-concept" models that demonstrate a significant leap in accuracy, speed, or reasoning capability.
• Knowledge Transfer: Document findings and mentor engineers on the mathematical nuances of the models.

Benefits

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