About this role
About the company
Our client is a cybersecurity company.
The role
Raydar is recruiting for this role on behalf of our client. Own the design, training and production deployment of machine learning systems behind a core detection capability. Partner closely with technical leadership and help set engineering standards on a small, fast-moving team.
What you'll do
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Design and build machine learning models that flag suspicious activity as it happens.
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Take models from research into production and measure how they behave at scale in a live environment.
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Architect systems that can absorb significant growth in data volume and traffic.
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Talk with customers to understand the threats they face and uncover new signals that strengthen detection.
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Set technical patterns, push for correctness and raise the quality bar across the team.
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Own systems end to end, from data pipelines through serving and infrastructure.
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Requirements
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What we're looking for
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4+ years of machine learning engineering experience, including shipping models to production at scale.
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A solid mathematical grounding, including statistics, linear algebra and applied modeling of anomalous behavior.
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Experience training and deploying models, with good judgment about which approach fits a problem and where its limits lie.
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Strong engineering fundamentals, including clean production-grade Python and end-to-end system ownership.
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Hands-on background with low-latency data processing and scalable storage and compute systems.
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High agency: you scope your own work, propose solutions and execute without direction.
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Fast learner who ships quickly and is comfortable in a small, high-autonomy team.
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Pride in craft and in building things that hold up over time.
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Bonus points
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Background in high-stakes domains such as quantitative finance or fraud detection.
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Experience shipping production machine learning at an early-stage company or on an ML infrastructure team.
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Degree in computer science, math or a quantitative field.
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First-author publication at a leading machine learning conference.
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Benefits
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Compensation and benefits
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Base salary: USD 250,000 to 300,000 per year
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Equity
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Health, dental and vision coverage
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Retirement plan
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Commission
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Location and work model
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San Francisco, CA, United States
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On-site, 5 days per week in office
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Full-time