ML Engineer, Developer Ecosystem

Skills

About the Role

You will build tutorials, reference solutions and workshop content that help developers succeed on the platform. You will evaluate new models and frameworks, deliver technical content at workshops and hackathons, partner with marketing, and contribute fixes to upstream projects.

Requirements

• Bachelor of Science in Computer Science, Computer Engineering, or related field, or equivalent experience
• 3+ years 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
• Strong written and verbal communication skills
• Based in the San Francisco Bay Area, with availability for regular in-person events and occasional travel

Responsibilities

• Build and maintain a library of tutorials and reference solutions for AMD Instinct GPUs covering inference, serving and fine-tuning
• Evaluate new models and frameworks and develop working examples
• Deliver technical content for workshops and hackathons and support participants
• Partner with marketing on technical content
• Share insights from events and the developer community
• Collaborate with ML engineering teams and contribute issue reports and fixes to upstream projects

Benefits

• Stock Options
• 100% paid Medical, Dental, and Vision insurance
• Company Health Savings Account Contributions
• 100% paid Short Term and Long Term Disability Insurance
• Life and Voluntary Supplemental Insurance Options
• Other Insurance Options such as Pet & Legal Insurance
• Supplementary Health Benefits such as discounted Virtual Healthcare Appointments and Serious Illness Support
• Flexible Spending Account
• 401(k)
• Employee Assistance Program
• Flexible PTO
• Paid Holidays
• Parental Leave
• Other In-Office Perks