Responsibilities
- Develop scalable cloud-based GPU solutions for training and evaluating deep learning models
- Construct full-cycle machine learning workflows and embed them into primary product operations
- Promote improvements aligned with modern ML engineering standards and uphold rigorous technical quality
- Partner with engineering teams across the organization to address large-scale data challenges
Compensation
Base salary, equity (options/RSUs), and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off
Work Arrangement
On-site — Sunnyvale, California, Washington, D.C., San Diego, Ft. Walton Beach, Florida, Ann Arbor, Michigan, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, Tokyo
