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Software Engineering

Staff Machine Learning Engineer

Pasadena, CA

Hybrid Full time

$235,000 to $299,000 a year

The employer is a SaaS company building scheduling and dispatch software for field service businesses.

As a Staff Machine Learning Engineer with the employer, you will set technical direction and help shape how the software engineering team works. This position is based in Pasadena, CA. This is a full-time, permanent position. This role is hybrid, with three days a week in our Pasadena office.

What you’ll do

  • Train, evaluate and deploy machine learning models into production services
  • Work with data scientists to move prototypes into reliable systems
  • Design offline and online experiments to measure model impact
  • Build feature pipelines and model monitoring
  • Optimize model latency and serving cost
  • Mentor junior engineers and review their work
  • Set technical standards and guide decisions across multiple projects

What you’ll bring

  • Bachelor’s degree in Computer Science, Machine Learning or a related field
  • 8+ years of relevant professional experience
  • Solid understanding of statistics and model evaluation
  • Strong Python and software engineering fundamentals
  • Experience deploying ML models to production
  • A track record of leading projects from scope through delivery

Nice to have

  • Experience with large language models or retrieval systems
  • Graduate degree in a quantitative field

Compensation and benefits

The pay range for this position in Pasadena, CA is $235,000 – $299,000 per year. Final pay depends on experience, skills and qualifications.

  • Paid parental leave
  • Medical, dental and vision insurance starting on day one
  • Annual professional development and certification budget
  • Life insurance
  • 401(k) with company match
  • Flexible spending accounts

The employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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