About the Team:

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 Senior 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

What you will do:

• 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.

• 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

Your profile:

• 5+ years experience shipping high-scale code to production.

• Fluent in at least one language - e.g., Java, Kotlin, Python, Ruby, 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 search, streaming, database or other backend technologies.

Bonus if you have:

• 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.

The SF base salary target range for this full-time position is $156,000-$195,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in San Francisco, CA. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your work location during the hiring process. 

Turo highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Turists will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Turo considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Turo offers.

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