Machine Learning Engineer

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