Senior Software Engineer ML Infrastructure
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement distributed cloud GPU training for deep-learning training and evaluation. You will build end-to-end machine-learning pipelines, integrate them into product workflows, promote ML engineering practices, and collaborate across the company to solve 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
- Knowledge of ML training, evaluation, and deployment platforms
- Knowledge of when to use open source versus building in-house
- Analysis
- problem-solving
Responsibilities
- Design and implement distributed cloud GPU training approaches
- Build end-to-end machine-learning pipelines
- Integrate machine-learning pipelines into core product workflows
- Promote ML engineering best practices
- Collaborate across the company to solve data problems at scale
Benefits
- Equity
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- 401k retirement benefits with employer match
- Learning stipend
- Wellness stipend
- Paid time off