Senior Data Engineer: ML Pipelines & Foundation Models

Applied Intuition; United States; On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Base salary + equity

Comprehensive health, dental, vision,

Life and disability insurance

401k retirement with employer match

Learning and wellness stipends

Paid time off

Job summary

Applied Intuition, a Sunnyvale-based leader in physical AI, is seeking a senior ML infrastructure engineer to build data pipelines and scale ML labeling systems.

You will own microservices and data tooling, collaborate with a product team, and work on high-scale GPU workloads, with an emphasis on ownership and impact. In-office role in the US with potential flexible scheduling.

Applicants must be U.S. citizens eligible for security clearance; prior DoD experience is a plus.

Qualifications

• 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.

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

Skills

5+ years of experience

ML infrastructure

Data-centric AI

Microservices

Security clearance

Tools

Docker

Kubernetes

OpenSearch

Postgres

Job description

Applied Intuition, a Sunnyvale-based leader in physical AI, is seeking a senior ML infrastructure engineer to build data pipelines and scale ML labeling systems.

You will own microservices and data tooling, collaborate with a product team, and work on high-scale GPU workloads, with an emphasis on ownership and impact. In-office role in the US with potential flexible scheduling.

Applicants must be U.S. citizens eligible for security clearance; prior DoD experience is a plus.