Machine Learning Infrastructure Engineer
6 days ago
About Meta
">The ideal candidate will have industry experience working on AI infrastructure-related topics, proficiency in GPU programming using CUDA, and familiarity with CUDA libraries (cuBLAS, cuDNN, etc.). They will apply relevant AI and machine learning techniques to build and optimize our intelligent systems, improving Meta's products and experiences.
">Key Responsibilities
">- ">
- Developing custom/novel architectures, defining use cases, and developing methodology & benchmarks to evaluate different approaches">
- Applying in-depth knowledge of how the machine learning system interacts with other systems around it">
- Assisting in goal setting related to project impact, AI system design, and ML excellence">
Requirements
">To be successful in this role, you will need:
">- ">
- Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field, or equivalent practical experience">
- 2+ years of experience in HPC and parallel computing">
- Proficiency in GPU programming using CUDA and familiarity with CUDA libraries (cuBLAS, cuDNN, etc.)">
- Proven track record of leading successful HPC projects">
- Proven technical expertise in HPC architectures and technologies">
Salary and Benefits
">The estimated salary for this role is $160,000 - $240,000 per year, plus bonus and equity, based on location and experience. We also offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
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