Senior Software Engineer - ML Infrastructure

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. The company services the automotive, defense, trucking, construction, mining, and agriculture industries.

Responsibilities

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

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 3+ years of professional experience
• Experience building software components for production, full-stack machine learning challenges
• Strong analytical and problem-solving skills
• Knowledge of the open source landscape and judgment on build vs. buy decisions

Preferred Qualifications

• Experience with orchestration systems like Airflow or Flyte
• Experience with ML modeling frameworks such as PyTorch or TensorFlow
• Experience with model serving platforms like TorchServe, TensorFlow Serving, or NVIDIA Triton