Senior Software Engineer (Data Engine)
Posted Updated
- The Axion Data team at Applied Intuition is building the data engine to train perception models
- We build the means to run models at the edge such as Automatic Target Recognition (ATR) models, then backhaul data to our cloud pipeline that ingests and manages this data to enable the continual improvement of these models
- As a data engineer experienced in machine learning, you will be responsible for both our edge application which runs perception stacks and our cloud data engine which ingests video data to run the next iteration of the model before we deploy it back down to the edge
- This includes optimizing our ability to run these models on both the edge and the cloud, as well as building MLOps tooling to gain insight and visibility into the pipeline for our stakeholders
- 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
- 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
- Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs
- U.S. citizenship (legally required) and eligibility to obtain a security clearance
- 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
- Experience with active learning, auto-labeling, or human-in-the-loop ML systems
- 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