About this opportunity
Adaption Labs lists this ML Inference Performance Engineer — Optimize Cost & Latency opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Adaption Labs in San Francisco is looking for a senior ML systems engineer to own the cost and performance of the inference stack. You’ll optimize caching, batching, quantization, and kernel-level performance to improve throughput and reduce latency without sacrificing model quality.
You’ll collaborate with the serving fleet engineers and tune routing, profiling, and measurement systems across production workloads. A strong background in Python/C++/Rust and GPU optimization is required.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.