Senior Software Engineer ML Infrastructure
Job description
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.
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
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
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
Skills mentioned
Applied Intuition is a vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, the firm offers a comprehensive Vehicle OS, self-driving system, and toolchain that enable automakers, defense contractors, and heavy-industry players to design, test, and deploy autonomous vehicles more quickly. With a valuation of $15 billion after its Series F round, Applied Intuition’s solutions are trusted by 18 of the world’s 20 leading automakers and major defense programs. The company’s global footprint—headquartered in Mountain View with offices across the U.S., Europe, and Asia—supports its mission to deliver cutting-edge AI and engineering tools across automotive, defense, trucking, construction, mining, and agriculture sectors.
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