[ engineering ]
Software Engineer, Ml Systems
Harmonic- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Harmonic. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Software Engineer, ML Systems at Harmonic to own the productionization of research pipelines. This role involves building and managing end-to-end ML pipelines, resolving bottlenecks in research code, standardizing ML practices, and managing cloud infrastructure on Kubernetes.
Skills and focus areas
- ml pipeline engineering
- etl
- automated evaluation
- reinforcement learning
- scalable code
- versioning
- experiment tracking
- ci/cd
- ml model deployment
- cloud infrastructure
- kubernetes
- telemetry
Summary written by Ramai from the original posting. Full details and requirements are on Harmonic’s careers page.
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