Machine Learning Engineer
Hyperbound- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Hyperbound. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Machine Learning Engineer at Hyperbound, an onsite role in San Francisco. This position involves owning machine learning models end-to-end, from training and fine-tuning open-source models to deploying them in production and building evaluation frameworks. The role requires pushing models on-device and managing the full lifecycle of real-time systems for sales applications.
Skills and focus areas
- machine learning
- model training
- model fine-tuning
- production deployment
- evaluation frameworks
- on-device model deployment
- quantization
- distillation
- open source models
Summary written by Ramai from the original posting. Full details and requirements are on Hyperbound’s careers page.
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