Software Engineer (Data Pipeline)
Posted Updated
- Construct optimized data pipelines to run ML models
- Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles
- Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery
- Leverage software-in-the-loop and hardware-in-the-loop testing
- Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
- U.S. citizenship (legally required) and eligibility to obtain a security clearance
- Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs
- Created or worked on microservices and/or databases for data-oriented software
- 5+ years of relevant work experience
- A hunger to learn and grow into a position of ownership and impact on a new product team
- Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
- Full-stack experience React, TypeScript Python, Golang or similar
- Experience with Docker, Kubernetes, Opensearch and Postgres
- Background in autonomous driving or robotics perception
- Direct experience with foundation models, including LLMs and VLMs, for data automation tasks
- Experience with active learning, auto-labeling, or human-in-the-loop ML systems