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Software Engineer

Raydar · San Francisco, CA, United States · Onsite

  • Professional Services
  • 11–50 employees
  • Santa Monica, California

Strong hiring record · median 32 days open

100100

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Open

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Software Engineer at Raydar. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

  • Take full ownership of new capabilities, from initial design to live release for large business customers within a few weeks.
  • Build backend pipelines that collect and process large volumes of varied telemetry from many sources.
  • Create real-time systems that detect problems and apply rules automatically.
  • Partner with customers during pilots and rollouts, sometimes releasing improvements while an engagement is still in progress.
  • Train compact machine learning models that return quick judgments within strict latency limits.
  • Stress-test models and automated agents with adversarial scenarios so weaknesses surface before customers encounter them.
  • Contribute to platform architecture and technical decisions with a small founding group.

Requirements

What we're looking for

  • 0 to 4 years of engineering experience, internships included.
  • A record of delivering production software.
  • Time spent at startups recognized for strong engineering talent.
  • Solid backend and systems fundamentals, such as large-scale distributed systems or infrastructure.
  • Comfort with an intense, fast-moving environment that has little formal structure.
  • Ability to work on-site in San Francisco.

Bonus points

  • Background in competitive programming.
  • Hands-on machine learning experience, such as adapting or tuning models.
  • Exposure to application security, adversarial testing or attacks on machine learning systems.
  • Experience at a quantitative trading firm.
  • Prior work embedded with customers or in a client-facing technical role.
  • Degree from a highly ranked computer science program or equivalent.

Benefits

Compensation and benefits

Base salary

USD 160,000 to 300,000 per year

  • Equity

Location and work model

  • San Francisco, CA, United States
  • On-site
  • Full-time

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