Data Engineer: ML Pipelines & Foundation Models

Decisive Point; Sunnyvale (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Applied Intuition, in Sunnyvale, California, is hiring for a senior data/ML-focused role. The team builds optimized data pipelines for ML models and scales labeling with modern ML infrastructure.

You will work with GPUs, microservices, and databases to deliver data-driven solutions, while collaborating with DoD customers to understand use cases and deliver value. In-office requirement applies for full-time roles.

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

ML infrastructure

Data-centric AI

GPUs & large-scale jobs

Microservices

Data-oriented software

Ownership & impact

Tools

Docker

Kubernetes

OpenSearch

Postgres

Job description

Applied Intuition, in Sunnyvale, California, is hiring for a senior data/ML-focused role. The team builds optimized data pipelines for ML models and scales labeling with modern ML infrastructure.

You will work with GPUs, microservices, and databases to deliver data-driven solutions, while collaborating with DoD customers to understand use cases and deliver value. In-office requirement applies for full-time roles.