ML Engineer, Developer Ecosystem

Role description

Role Overview

TensorWave is seeking an ML Engineer, Developer Ecosystem to build tutorials, reference solutions, and workshop content for developers on their platform. The role involves building and maintaining a library of tutorials, evaluating new models and frameworks, and delivering technical content for workshops and hackathons.

What You Will Do

Build and maintain a library of tutorials and reference solutions for AMD Instinct GPUs, evaluate new models and frameworks, deliver technical content for workshops and hackathons, and support participants during events.

Why It Might Be a Fit

The ideal candidate will have hands-on experience with ML systems in Python, strong experience with PyTorch and the Hugging Face ecosystem, and proficiency with Linux, containers, and GPU environments.

Requirements

• Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical 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
• Strong written and verbal communication skills, including presenting to technical audiences

Benefits

• Stock Options
• 100% paid Medical, Dental, and Vision insurance for Employees
• Company Health Savings Account Contributions
• 100% paid Short Term and Long Term Disability Insurance for Employees
• Life and Voluntary Supplemental Insurance Options
• Other Insurance Options, such as Pet & Legal Insurance
• Various 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