
Software Engineer
Raydar · San Francisco, CA, United States · Onsite
- Professional Services
- 11–50 employees
- Santa Monica, California
Strong hiring record · median 32 days open
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
Skills
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