[ engineering ]
Senior Software Engineer - Ml Infrastructure
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 ]
Senior Software Engineer - ML Infrastructure at Applied Intuition. This role focuses on the ML lifecycle, including dataset generation, training frameworks, compute, evaluation, and deployment. The engineer will design and implement distributed cloud GPU training approaches for deep learning models.
Skills and focus areas
- machine learning infrastructure
- ml pipelines
- ml lifecycle
- dataset generation
- training frameworks
- compute
- evaluation
- deployment
- distributed systems
- cloud gpu training
- deep learning model training
- technical ownership
Summary written by Ramai from the original posting. Full details and requirements are on Applied Intuition’s careers page.
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