Senior ML Applied Scientist
September 17
Description
• Build ML models that can scale to millions of requests per second while maintaining performance. • Translate business requirements into technical specifications. • Develop ML models that satisfy memory and compute constraints, evaluate them properly, and debug effectively. • Provide technical mentorship to other ML research engineers. • Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users. • Write clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests. • Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability. • Provide technical input to the research roadmap.
Requirements
• Thoughtful, conscientious, and self-directed. • 5+ years of professional experience in 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 or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience. • Excellent communication, listening, and presentation skills to engage with diverse audiences and support and mentor peers.
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.
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