As an ML Applied Scientist, you will design, implement, and scale machine learning systems that power our products, combining research, engineering, and mentorship in a fast-paced production environment.
Requirements
- 5+ years of professional experience in applied ML
- Proven experience with the entire modeling lifecycle: building, evaluating, and debugging large ML models
- Experience with large-scale categorical and structured data
- Expertise in real-time ML models, incremental learning, and online learning
- Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.
- Bachelor’s degree in a technical field (or equivalent practical experience)
- Thoughtful, self-directed individual who is comfortable making technical decisions independently
Benefits
- Fully remote position with flexible working hours
- An inspiring team of colleagues spread all over the world
- Pleasant, modern development and deployment workflows: ship early, ship often
- High impact: lots of users, happy customers, high growth, and cutting edge R&D
- Flat organization, direct interaction with customer teams