9 months ago
Base Salary
$190k - $260k/yr
Responsibilities
- Own end-to-end applied research from problem framing to production deployment.
- Set technical direction across LLMs, retrieval, and multimodal modeling.
- Build evaluation frameworks linking offline metrics to online outcomes.
- Collaborate with engineering, product, and clinicians to align on data and success criteria.
- Mentor peers and establish standards for reliability and documentation.
- Enhance the platform for data, training, and observability.
- Explore new research directions, including computer vision.
Requirements
- MS or PhD in Computer Science, Electrical Engineering, or related field.
- 7+ years of applied ML research experience or equivalent.
- Depth in LLMs, NLP, computer vision, or multimodal modeling.
- Strong experimental rigor and ability to take models to production.
- Hands-on experience with PyTorch and ML ops tools.
- System thinking and clear documentation skills.
- Collaborative communicator with mentoring experience.
Benefits
- Comprehensive Medical, Dental, Vision & Life insurance.
- HSA with employer match, FSA, & DCFSA.
- 401(k) plan.
- 11 Paid Company Holidays.
- Flexible PTO policy.
- Annual company-wide offsite and periodic team offsites.
- Annual equipment stipend.