Senior MLOps Engineer

Responsibilities

• Construct optimized data pipelines to run ML models
• Evolve data engine architecture to scale high-fidelity labels and accelerate ML iteration cycles
• Integrate foundation models (LLMs, VLMs, and multimodal models) to automate labeling and quality assurance
• Leverage software-in-the-loop and hardware-in-the-loop testing
• Interact with DoD customers to understand use cases and triage needs during field events

Requirements

• 5+ years of relevant work experience
• Familiarity with modern ML infrastructure and data-centric AI approaches
• Experience running large-scale jobs on GPUs
• Experience with microservices and/or databases for data-oriented software
• U.S. citizenship (legally required) and eligibility to obtain a security clearance

Preferred Qualifications

• Full-stack experience with React, TypeScript, Python, or Golang
• Experience with Docker, Kubernetes, Opensearch, and Postgres
• Direct experience with foundation models (LLMs/VLMs) for data automation
• Background in autonomous driving or robotics perception
• Experience with active learning, auto-labeling, or human-in-the-loop ML systems

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, including automotive, defense, and agriculture industries.