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, as well as 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 units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.

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.