ML Framework (MetalLM) Engineer
ML Framework (MetalLM) Engineer
Posted on :
05-08-2025
Employer Active
1 Vacancy
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Monthly Salary
USD 181100 - 272100
Vacancy
1 Vacancy
Posted on :
05-08-2025
Job Description
Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating Machine learning libraries on Apple Silicon. Role has the opportunity to influence the design of compute and programming models in next generation GPU :Work on cutting-edge ML inference framework project and optimize code for efficient and scalable ML inference using distributed compute strategies such as data tensor pipeline and expert kernel and compiler level optimizations and perform in-depth analysis to ensure the best possible performance across Server hardware advanced model optimization techniques including speculation quantization compression and others to maximize throughput and minimize closely with hardware compiler and systems teams to align software performance with hardware and improve performance metrics such as end-to-end latency TTFT TBOT memory footprint and compute features of Metal device backend for ML training acceleration technologiesIf this sounds of interest we would love to hear from you!
- 3 years of programming and problem-solving experience with C/C/ObjC
- Experience with GPU kernel development & optimizations using compute programming models such as Metal CUDA etc.
- Experience with system level programming and computer architecture
- Experience with Distributed training or inference techniques
- Experience with graph compilers such as Triton OpenXLA or LLVM/MLIR is a plus
- Contributions to an AI framework such as PyTorch JAX or Tensorflow is a plus
- Good understanding of machine learning fundamentals
Employment Type
Full Time
Key Skills
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