Senior ML Engineer to Optimize State-of-the-Art AI Systems
Cerebras
About the role
About
Join a team pushing the boundaries of AI as a Senior ML Engineer. Focus on optimizing open-source models for advanced systems and make significant contributions to high-performance AI solutions.
In this dynamic role, you'll be part of the SOTA Training Platform, specializing in the rapid deployment of ML applications. Candidates should be ready to navigate the full AI toolchain and address performance challenges, ensuring models function at peak efficiency across diverse platforms.
Your technical acumen will be instrumental in unlocking the potential of next-gen AI technologies, enhancing user experiences through optimized performance.
Responsibilities
- Manage the deployment of ML models on AI systems
- Enhance model performance through architecture translation
- Address correctness in runtime behavior and utilization
- Suggest automation improvements for future projects
Requirements
- Advanced degree in Computer Science or Engineering
- More than 5 years of industry-related experience
- Familiarity with deep learning frameworks like Py Torch
- Proven debugging skills in various performance areas
- Background in compiler technologies such as LLVM
Skills
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