Senior Machine Learning Engineer (Distributed Systems & Model Optimization)
Lead the productization and optimization of ML models into scalable, high-performance services with clear SLOs. Own distributed training (DDP/FSDP/ZeRO) and inference optimization (quantization, pruning, Flash Attention) while collaborating across Research, Platform, and Data teams. Build and maintain model-serving systems with cost and latency efficiency in production environments.
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Job Description
Title: Machine Learning Engineer
Location : Remote or Location: San Jose, CA (hybrid onsite 3x per week – Tues, Wed, Thurs)
Target Start Date : ASAP
Type: (C, CTH, D) Direct Hire
Pay Rate / Salary (Ranges OK) : 240,000 -250,000
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Title: Machine Learning Engineer
Job Description
Responsibilities:
· Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
· Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
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