Turo-posted 20 days ago
$182,000 - $228,000/Yr
Full-time • Mid Level
Hybrid • San Francisco, CA
501-1,000 employees

The Machine Learning Engineering (MLE) team works with the Platform team and the Data Science team to deploy machine learning models to production using microservice architecture with high availability and scalability. We host numerous models spanning many different domains that help create a world class car sharing platform. As a Staff Software Engineer on the MLE team, you'll build the platform that turns our Data Science innovations into scalable production systems, enabling rapid model iteration and deployment across new applications. Learn more about our Engineering team here: https://www.beforeyouapply.com/team/engineering-at-turo

  • Collaborate with Product Engineering to help integrate Machine Learning models throughout the product experience (E.g. Pricing, Search Ranking)
  • Collaborate extensively with Data Science and Platform to build tools and systems that enable fast iteration on our existing models, and deployment of new models.
  • Use ML specific technologies like MLflow for model storage, Chalk.AI for feature storage and retrieval, and ONNX for cross-platform model evaluation.
  • Working closely with Data Science to advise on the feasibility and complexity of new ML initiatives.
  • Generate maintainable, high-quality code, conduct thorough testing, engage in collaborative code reviews, and oversee the shipping process.
  • Identify opportunities for enhancing and scaling our architecture and application design.
  • Create tools and utilities for diagnosing and resolving issues within the system
  • Ensure proper technical design and documentation.
  • Operate effectively in a dynamic and expanding environment, adapting to constant change, where fluid processes and creative solutions are valued.
  • Apply your skills to elevate the technical standards and provide guidance on architectural decisions
  • Lead significant projects and concurrently provide mentorship to fellow team engineers.
  • 7+ years experience shipping high-scale code to production.
  • Fluent in at least one language - e.g., Java, Python, Go, or C
  • Possess strong computer science fundamentals: data structures, algorithms, database concepts, distributed systems, and search.
  • Strong communicator. Explaining complex technical concepts to designers, support, and other engineers is no problem for you.
  • Enjoy solving problems and helping others meet their goals.
  • Experience with logging, monitoring and alerting systems and tools.
  • Passionate about Machine Learning/AI, Streaming, Databases or other backend technologies.
  • Bachelor's/Master’s degree or equivalent in Computer Science or related field
  • Curious about container orchestration systems such as kubernetes and infrastructure as code tools such as terraform.
  • Competitive salary, equity, benefits, and perks for all full-time employees
  • Employer-paid medical, dental, and vision insurance (Country specific)
  • Retirement employer match
  • Learning & Development stipend to invest in your professional development
  • Turo host matching program
  • Turo travel credit
  • Cell phone and internet stipend
  • Paid time off to relax and recharge
  • Paid holidays, volunteer time off, and parental leave
  • For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities
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