Senior Software Engineer, ML Infrastructure

Turo is the world’s largest car sharing marketplace where you can book the perfect car for wherever you’re going from a vibrant community of trusted hosts across the US, UK, Canada, Australia, and France. Whether you're 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 driver's seat of an extraordinary selection of cars shared by local hosts.

About the team:

We are looking for brilliant software engineers who have a passion for consumer products and want to join an energetic team that is changing the way people think about travel. We ship code daily, A/B test extensively, and have a primary role in creating the product from inception to implementation. There’s much to do, and you’ll be responsible for making some real cool stuff happen.

Our APIs, internal services, and web app are at the core of our stable of software that’s reinventing mobility. Be a member of a small team of talented engineers and designers and play a major role in shaping an exciting app that’s changing how people travel and think about car ownership.

Learn more about our Engineering team here: https://www.beforeyouapply.com/team/engineering-at-turo

What you will do:

• Build a world-class machine learning platform that will power a rapidly growing number of products and functions across Turo.
• Partner with data scientists to train and serve state of the art models to our customers.
• Identify areas for and deliver platform-level impact.
• Collaborate with a wide range of internal teams, being attentive to identify and understand their pain points and underlying needs.
• Produce high-quality maintainable code, test it, collaboratively review it and ship it.
• Scope and prioritize work with a focus on incremental delivery with a high bar for excellence, but recognizing the business benefits of having something now vs delayed perfection.
• Work efficiently in a constantly changing and growing environment where the process is fluid and creative solutions are desired.

Your profile:

• Bachelor's/Master’s degree or equivalent in Computer Science or related field
• 5+ years experience in the realm of large-scale data processing, distributed systems, and/or machine learning infrastructure, with an understanding of the complexities associated with production environments.
• Familiarity with operational tooling for ML services (monitoring, alerting, etc), and architecting distributed microservice systems for model hosting/serving.
• Experience with public cloud systems (particularly AWS), Kubernetes, and Terraform is a significant plus.
• Strong hands-on programming skills, particularly in Java (or other JVM languages) and Python, with an ability to develop robust, scalable, and maintainable code.
• Strong sense of ownership, motivation, curiosity, and a commitment to excellence in all aspects of your work.
• Solid computer science fundamentals: data structures, algorithms, database concepts, distributed systems, and search.
• Strong communicator. Writing clear documentation and explaining complex technical concepts to designers, support, and other engineers is no problem for you. 
• Technical leader driving large and complex projects impactful to the business.
• Enjoy solving problems and helping others meet their goals.
• Excited to work in a diverse, inclusive environment.

The Austin base salary target range for this full-time position is $142,000-$177,000 + 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 Austin, TX. 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. 

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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)