Software Engineer, MLDE Labels Platform
About The Position
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Software Engineer on the Machine Learning Data Engine: Labels Platform team. Our team is responsible for production services supporting high volume data labeling operations. We also provide data models and service interfacing supporting a variety of autonomy data consumers. Autonomy performance is directly dependent on data quality, selection, and volume. On this team you will have opportunities to work on projects that are mission-critical for the company. You will also have the opportunity to develop innovative industry-leading ML Ops solutions. Aurora is uniquely positioned to lead in this space due to its end-to-end data collection, labeling, model training and evaluation toolchain.
Requirements
- BS / MS / PhD degree in Computer Science or a related field
- For non-CS majors or BS candidates, strong software experience (4+ years in industry)
- 4+ years of expertise with production backend services (Cloud, Kubernetes, DevOps)
- Experience with C++ and Python
Nice To Haves
- Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics
- Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch
- Supplementary programming languages: Golang, Typescript
Responsibilities
- Apply production best practices to ensure platform reliability
- Feature development for new labeling applications
- Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
- Apply ML Ops best practices to design processes for improving data coverage and quality
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
