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Senior Machine Learning Engineer, LLM Inference Optimization

Summary by AIEngineer.careers

Senior Machine Learning Engineer, LLM Inference Optimization is a AI Inference Engineer role (full-time). with SpringCube. in PALO ALTO, US. Compensation shown: $200K–$250K. Imported listing (source: springcube.com). Apply on the employer's site (springcube.com).

Imported listing (source: springcube.com) · Apply on springcube.com

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PALO ALTO · US
$200K–$250K
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from springcube.com

SpringCube is hiring a Senior Machine Learning Engineer focused on LLM inference optimization. The role owns optimization projects across model families and inference backends, improving latency and throughput for LLM and VLM endpoints. You will also develop model compression workflows and benchmark inference engines.

Responsibilities

  • Own optimization projects for model families and inference backends
  • Improve latency and throughput for LLM/VLM endpoints
  • Develop model compression workflows
  • Configure and benchmark inference engines

Requirements

  • Experience optimizing LLM/VLM inference
  • Hands-on with inference engines and benchmarking
  • Knowledge of model compression techniques
  • Strong machine learning engineering background

Tech Stack

BenchmarkingInference EnginesLLMModel CompressionVLM
SpringCube

SpringCube

Singapore · SG · 5+ employees

SpringCube (SpringCube Tech Jobs Pte Ltd) is a Singapore-based specialist career platform launched in 2026 connecting AI, data, and cloud engineering talent with employers in the San Francisco Bay Area. It is part of SpringCube Asia, a technology recruitment firm founded in 2002 that has served big tech and startups in Singapore, the US, and the UK for over two decades.

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