Staff Software Engineer, Machine Learning

San Francisco, CA - USA

Monthly Salary: $ 182000 - 228000

Posted on: 5 days ago

Vacancies: 1 Vacancy

Job Summary

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 Staff Software Engineer on the MLE team youll 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: 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 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.

Your profile:

7 years experience shipping high-scale code to production.
Fluent in at least one language - e.g. Java 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 Machine Learning/AI Streaming Databases or other backend technologies.

Bonus if you have:

Bachelors/Masters 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 $182000-$228000 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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Benefits

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

We are committed to building a diverse team. If you are from a background thats underrepresented in tech wed love to meet you.

Aside from an award winning work environment and the opportunity to be part of the worlds largest car sharing marketplace we are also growing the team quickly - join us! Even if you dont meet every qualification we are looking for people with enthusiasm for what we do and we will consider you for this and other possibilities.

About Turo

Turo is the worlds largest car sharing marketplace where you can book the perfect car for wherever youre going from a vibrant community of trusted hosts across the US UK Canada Australia and France. Whether youre flying in from afar or looking for a car down the street searching for a rugged truck or something smooth and swanky Turo puts you in the drivers seat of an extraordinary selection of cars shared by local hosts.

Discover Turo at the App Store and Google Play and check out our blog Field Notes.

Turo is an Equal Opportunity Employer and a participant in the U.S. Federal E-Verify program. Women minorities individuals with disabilities and protected veterans are encouraged to apply. We welcome people of different backgrounds experiences abilities and perspectives.

Turo will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance as applicable.

We welcome candidates with physical mental and/or neurological disabilities. If you require assistance applying for an open position or need accommodation during the recruiting process due to a disability please submit a request to People Operations by emailing

Required Experience:

Staff IC

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 ...