Software Engineer - Axion Data Engine and ML Ops

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. Meet our software engineers! Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates. About the role The Axion Data team 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 an engineer experienced in MLOps, 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, building MLOps tooling to gain insight and visibility into the pipeline for our stakeholders. At Applied Intuition, you will: 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 We're looking for someone who has: 5+ years of relevant work experience 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 A hunger to learn and grow into a position of ownership and impact on a new product team U.S. citizenship (legally required) and eligibility to obtain a security clearance Nice to have: Full-stack experience React, TypeScript Python, Golang or similar Experience with Docker, Kubernetes, Opensearch and Postgres Direct experience with foundation models, including LLMs and VLMs, for data automation tasks Background in autonomous driving or robotics perception Experience with active learning, auto-labeling, or human-in-the-loop ML systems Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock un ... (truncated, view full listing at source)