Senior ML Applied Scientist

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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.

Responsibilities:

• 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, focusing on shipping early and often for deployment 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, maintaining up-to-date knowledge on technological developments.
• Provide technical input to the research roadmap.