Senior Software Engineer - ML Infrastructure

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 of excellence in support of 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 to address production, full-stack machine learning challenges
• Knowledge of the open source landscape with judgment on when to choose open source versus building in-house
• Strong analytical and problem-solving skills

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

Benefits

• Competitive base salary and equity
• Comprehensive health, dental, vision, life, and disability insurance
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the Company

Applied Intuition is powering the future of physical AI. We are creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries.