Applied Intuition is looking to solve the problem of building and deploying AI-driven machines by accelerating the global adoption of safe, AI-driven machines.
Requirements
- Experience with building software components to address production, full-stack machine learning challenges
- Knowledge of Pytorch, CUDA, Ray, Flyte, K8s
- Opinions about building a company-wide platform for ML training, evaluation, and deployment
- Knowledge of the open source landscape with judgment on when to choose open source versus build in-house
- Excellent analytical and problem-solving skills
Responsibilities
- Design and build training and evaluation infrastructure to support AI research directions
- Create robust benchmarking and continuous evaluation systems to track model progress
- Develop scalable systems for large-scale data sampling, dataset creation, and advanced curation techniques
- Work across cloud environments to support high-throughput distributed training
- Collaborate closely with the AI research team and autonomy teams
Other
- Primarily work from Applied Intuition office 5 days a week with occasional remote work
- Take ownership over technical and product decisions
- Closely interact with external and internal users to collect feedback
- Contribute to a thoughtful, dynamic team culture
- Base salary range: $153,000 - $222,000 USD annually
- Benefits include equity, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off
