AI - Machine Learning Engineer

About the role

ConsultNet lists a direct-hire ML Engineer role (remote or San Jose hybrid) at $240K-$250K, with relocation to San Jose required within six months. Work includes productizing research models, PyTorch, multi-GPU training, inference optimization, model serving, vector stores, data pipelines, and evaluation. Resume ML/PyTorch/retrieval overlap; distributed training and production serving gaps remain. Sponsorship unstated.

Requirements

• 3-5 years ML/AI engineering owning production training or serving
• Production ML services with low latency, reliability, and cost improvements
• Strong ML systems engineering and PyTorch
• Collaborate with Research, Platform, Data, and Product
• Relocate to San Jose within six months if not local

What you'll do

• Productize research models into reliable, efficient services
• Scale multi-GPU training and optimize throughput
• Implement quantization, distillation, pruning, and inference optimizations
• Build serving systems with batching, streaming, caching, and memory management
• Integrate vector stores and data pipelines
• Track performance and cost KPIs and improve systems continuously

Where this was posted

• LinkedIn

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