Software Engineer, Mlops - Pricing

OpenDoor

Seattle, United States
Base: $205,000 - $281,000 annually; bonus/equity: ...
On-site
Productionize machine learning models
Ml model training, deployment, monitoring
End-to-end ml lifecycle management
We’re looking for a senior-level Software Engineer to join our Pricing & ML team, leading the design and evolution of the platform and tooling that productionize the machine learning models behind our pricing engine

Job Summary

  • We’re looking for a senior-level Software Engineer to join our Pricing & ML team, leading the design and evolution of the platform and tooling that productionize the machine learning models behind our pricing engine.
  • In this role, you’ll work side-by-side with backend software engineers, data scientists, ML engineers, product managers, and partner engineering and operations teams to turn prototypes and ideas into robust, scalable, and observable production systems.
  • The base pay range for this position is $205,000 - $281,000 annually, plus RSUs and bonuses.

Matching Summary

We’re looking for a senior-level Software Engineer to join our Pricing & ML team, leading the design and evolution of the platform and tooling that productionize the machine learning models behind our pricing engine.

Salary

Base: $205,000 - $281,000 annually; Bonus/Equity: RSUs and bonuses; Benefits: Unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k)

Skills & Requirements

Must-have

  • Productionize machine learning models
  • ML model training, deployment, monitoring
  • End-to-end ML lifecycle management
  • Python for production code
  • SQL for complex datasets

Nice-to-have

  • ML systems in business-critical environments
  • MLOps tools and concepts
  • Real estate domain knowledge

Key Requirements

  • 8+ years of experience in software engineering or 6 Years with a Masters
  • Substantial work with ML-adjacent or production ML workflows
  • Strong proficiency in Python
  • Solid experience working with SQL
  • Proven experience owning and operating data pipelines and/or model training/serving pipelines

Work Rights

Not specified

Tailored Resume

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