
Machine Learning Optimization Specialist
6 days ago
Job Summary
We are seeking a highly skilled ML Compiler Engineer to join our team. This role involves working on a wide range of machine learning compilers, improving optimization capabilities through benchmark analysis and profiling, and innovating new compiler and optimization algorithms.
The ideal candidate will have experience with compiler development and computer architecture, as well as strong knowledge of machine learning and software engineering principles.
Key Responsibilities
- Develop and optimize machine learning compilers for various architectures
- Analyze and profile benchmarks to improve compiler performance
- Create new compiler and optimization algorithms
- Collaborate with cross-functional teams to integrate compiler technologies into open-source projects
- Publish research papers and present at industry conferences
Requirements
- Strong background in compiler development and computer architecture
- Experience with machine learning frameworks and software engineering principles
- A degree in Computer Science or Applied Mathematics
- Excellent problem-solving skills and attention to detail
Preferred Qualifications
- Experience with MLIR, MLIR Dialects, PyTorch 2.0, TVM, Triton, and/or LLVM
- Knowledge of SYCL, high-performance computing, and polyhedral compiler optimization
- Experience with loop transformation, vectorization, and GPU programming
Education and Experience
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 4+ years of relevant work experience
- OR Master's degree in the same fields with 3+ years of relevant work experience
- OR PhD in the same fields with 2+ years of relevant work experience
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