At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.

We care deeply about delivering the best transportation experience; this means the best experience for the passenger and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets… how they evolve, how they breathe. We embrace the powerful positive impact autonomous transportation will bring to our everyday lives and with our ambition, we will become a leader in the development and operation of such vehicles. Thanks to our network, with hundreds of millions of rides every year, we have the means to make autonomy a safe reality. As a member of Level 5, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and thereby revolutionize transportation.

The Scene Platform team at Level 5 builds tools for extracting insight from our rapidly growing dataset of driving scenarios -- a centerpiece of Level 5’s autonomy strategy. We ingest data from AV missions, human-driven vehicles, and simulations, and produce curated datasets for AV model training and software validation. We tackle this unique challenge using a combination of deep learning methods and conventional query tools (SQL, Spark). Scene Platform operates at a nexus of the autonomy data ecosystem where our upstream and downstream customers, as well as our own systems, all involve state-of-the-art machine learning; an ideal position in which to gain exposure to a wide cross-section of the AV technology stack.

Responsibilities:

• Build and operate large-scale data pipelines for complex driving-scenario data
• Design APIs and UX for use cases such as ingestion, exploration, dataset generation, etc.
• Collaborate with other teams, such as Autonomy, Validation, Simulation, and Mapping, to create novel data products that advance our self-driving program
• Develop platform-oriented systems that facilitate contributions from other teams and sharing of solutions between customer teams
• Work effectively in a diverse team of talented SW & ML engineers

Experience & Skills:

• 5+ years hands-on coding experience 
• 3+ years working on production software infrastructure, ideally data systems or API-based platforms
• Experience with both statically and dynamically typed languages
• Strong background in object oriented design, testability, and code reusability
• Excellent SQL skills and exposure to large-scale ETL systems & data warehouses
• Knowledge of one or more cloud platforms, such as AWS or GCP
• Demonstrated ability to independently lead substantial technical projects, including synthesis of requirements, technical design, and execution