5+ years in post-doc or industrial research, with a strong publication track record
Mastery of linear algebra, calculus, and probability
Deep proficiency in Python and deep learning frameworks
PhD in Machine Learning, Mathematics, Physics, or a similar quantitative field
Responsibilities
Design and train novel AI architectures to tackle complex business issues
Lead hypothesis testing and establish evaluation benchmarks that reflect human intent
Stay updated with the latest research through academic conferences and platforms
Create proof-of-concept models that showcase substantial improvements in performance
Document findings and mentor engineering teams on model mathematics
Benefits
Competitive salary
Equity options
Health, dental, and vision benefits
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
Full Job Description
About the Role:
The AI Research Scientist will work within webAI's Intelligence Lab as the "brain" of development. Their primary objective is to push the boundaries of what is possible. While they collaborate with engineers, their success is measured by the novelty and efficacy of their models, often operating in a high-uncertainty environment. This individual will work closely with research leadership and applied AI teams to advance scientific discovery while ensuring that innovations translate into real-world impact.
This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. This position is based in-office at our downtown headquarters.
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.
Qualifications:
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.
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
Truth - Emphasizing transparency and honesty in every interaction and decision.
Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
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)
