# Senior ML Infrastructure Engineer

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** ML Engineering
**Salary:** $125k – $220k/yr
**Experience:** 5+ years
**Skills:** ML Infrastructure, MLOps, Gpus, Microservices, Databases, Python, Go, Docker, Kubernetes, LLMs, Vlms, Foundation Models, React, TypeScript, Opensearch
**Posted:** 2026-04-28

> Build and optimize ML data pipelines and infrastructure for edge perception models and cloud data engines at Applied Intuition. Requires 5+ years experience with modern ML infrastructure, large-scale GPU jobs, microservices/databases, and US citizenship for DoD work.

## Job Description

## Responsibilities
- 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.

## Requirements
- 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-Haves
- Full-stack experience with 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
- Base salary range: $150,000 - $240,000 USD annually.
- Total compensation package may also include equity, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.

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**Apply:** https://hotfix.jobs/jobs/3ab17770-9bbf-44f3-abf4-1e8bbf1a2a5e
**Canonical:** https://hotfix.jobs/jobs/3ab17770-9bbf-44f3-abf4-1e8bbf1a2a5e