Raydar
Software Engineer
About the company Our client is a cybersecurity company. The role Raydar is recruiting for this role on behalf of our client. Take responsibility for delivering customer-facing software from design through production at an early-stage company. The work spans backend data…
About the company
Our client is a cybersecurity company.
The role
Raydar is recruiting for this role on behalf of our client. Take responsibility for delivering customer-facing software from design through production at an early-stage company. The work spans backend data processing and low-latency automated decision systems, with frequent direct contact with customers during pilots and rollouts. You will also help set technical direction alongside a very small engineering group.
What you'll do
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Take full ownership of new capabilities, from initial design to live release for large business customers within a few weeks.
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Build backend pipelines that collect and process large volumes of varied telemetry from many sources.
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Create real-time systems that detect problems and apply rules automatically.
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Partner with customers during pilots and rollouts, sometimes releasing improvements while an engagement is still in progress.
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Train compact machine learning models that return quick judgments within strict latency limits.
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Stress-test models and automated agents with adversarial scenarios so weaknesses surface before customers encounter them.
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Contribute to platform architecture and technical decisions with a small founding group.
Requirements
What we're looking for
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0 to 4 years of engineering experience, internships included.
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A record of delivering production software.
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Time spent at startups recognized for strong engineering talent.
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Solid backend and systems fundamentals, such as large-scale distributed systems or infrastructure.
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Comfort with an intense, fast-moving environment that has little formal structure.
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Ability to work on-site in San Francisco.
Bonus points
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Background in competitive programming.
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Hands-on machine learning experience, such as adapting or tuning models.
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Exposure to application security, adversarial testing or attacks on machine learning systems.
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Experience at a quantitative trading firm.
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Prior work embedded with customers or in a client-facing technical role.
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Degree from a highly ranked computer science program or equivalent.
Benefits
Compensation and benefits
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Base salary: USD 160,000 to 300,000 per year
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Equity
Location and work model
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San Francisco, CA, United States
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On-site
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Full-time