ML Engineer
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Job Summary
Working remotely in a full-time capacity, the ML Engineer for the Developer Ecosystem will build tutorials and reference solutions for AMD Instinct GPUs, evaluate new models and frameworks, and deliver technical content for workshops and hackathons.
Key responsibilities
- Build and maintain a library of tutorials and reference solutions for ML applications
- Evaluate new models and frameworks, developing working examples on the platform
- Deliver technical content for workshops and support participants during events
Required qualifications
- Bachelor of Science in Computer Science, Computer Engineering, or a related field, or equivalent experience
- 3+ years of experience building ML systems in Python
- Strong experience with PyTorch and the Hugging Face ecosystem
- Hands-on experience with LLM inference frameworks such as vLLM or SGLang
- Proficiency with Linux, containers, and GPU environments
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