Senior ML Infra Engineer – End-to-End Pipelines

Applied Intuition; Sunnyvale (CA); Hybrid; USD 215,000 - 285,000; Full time

Job summary

Applied Intuition, Inc. is a Silicon Valley company building the digital infrastructure for physical AI. This role sits in the Data & ML infra group and spans the entire ML lifecycle from dataset generation to deployment, working with modeling teams.

You will own and improve the ML stack, interact with external and internal users for feedback, and contribute to a thoughtful, dynamic team culture while maintaining production-grade engineering practices.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent.
• Excellent analytical and problem-solving skills.
• Experience building software components to address production ML challenges, not purely research.
• Opinions about building a company-wide platform for ML training, evaluation, and deployment.

Responsibilities

• Design and implement distributed cloud GPU training approaches for deep learning model training and evaluation.
• Build end-to-end ML pipelines and integrate them into core product workflows.
• Encourage ML engineering best practices and maintain high standards of excellence.
• Collaborate across the company to solve complex data problems at scale.

Skills

Analytical thinking

Problem solving

Communication

Education

Bachelor's degree in Computer Science/Software Engineering or equivalent

Job description

Applied Intuition, Inc. is a Silicon Valley company building the digital infrastructure for physical AI. This role sits in the Data & ML infra group and spans the entire ML lifecycle from dataset generation to deployment, working with modeling teams.

You will own and improve the ML stack, interact with external and internal users for feedback, and contribute to a thoughtful, dynamic team culture while maintaining production-grade engineering practices.