I
Senior/Lead ML Applied Scientist
Actively Hiring
Full-time Posted 6 months ago
Responsibilities
- check_circle Build ML models that can scale to millions of requests per second while maintaining performance.
- check_circle Translate business requirements into technical specifications.
- check_circle Develop ML models that satisfy memory and compute constraints, evaluate them properly, and debug effectively.
- check_circle Provide technical mentorship to other ML research engineers.
- check_circle Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users.
- check_circle Write clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
- check_circle Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability.
- check_circle Provide technical input to the research roadmap.
- check_circle 5+ years of professional experience in applied ML.
- check_circle Proven experience with the entire modeling lifecycle: building, evaluating, and debugging large ML models.
- check_circle Experience with large-scale categorical and structured data.
- check_circle Expertise in real-time ML models, incremental learning, and online learning.
- check_circle Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc.
- check_circle Bachelor’s degree in a technical field (or equivalent practical experience).
- check_circle Thoughtful, self-directed individual who is comfortable making technical decisions independently.
Preferred qualifications
- Strong grasp of the math required for ML (linear algebra, probability theory, statistics, matrix calculus).
- Software engineering/development experience with large-scale distributed systems.
- Ability to collaborate with ML engineers to integrate your work into our infrastructure, including automating observability, deployment, quality, and security.
Benefits
- check_circle Fully remote position with flexible working hours.
- check_circle An inspiring team of colleagues spread all over the world.
- check_circle Pleasant, modern development and deployment workflows: ship early, ship often.
- check_circle High impact: lots of users, happy customers, high growth, and cutting edge R&D.
- check_circle Flat organization, direct interaction with customer teams.
Tags & Focus Areas
Remote Machine Learning Ai