Software Engineer - Ml Framework
Applied Intuition- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Applied Intuition. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Software Engineer - E2e Autonomy at Applied Intuition. This role involves building ML tools and infrastructure, managing large datasets, and addressing challenges across the end-to-end autonomy stack to enable AI research for self-driving vehicles. The engineer will take ownership of technical and product decisions and interact with users for feedback.
Skills and focus areas
- ml tools
- infrastructure
- large datasets
- end-to-end autonomy
- self-driving vehicles
- technical decision making
- product decision making
- user feedback
Summary written by Ramai from the original posting. Full details and requirements are on Applied Intuition’s careers page.
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