Senior/Lead ML Applied Scientist

As an ML Applied Scientist, you will design, implement, and scale machine learning systems that power enterprise security products. You’ll work across teams to translate business goals into technical specifications, ensuring our models perform efficiently under real-world constraints.

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