ML Engineer, Developer Ecosystem

Remotefull time

Remote

mid

H1B: no

Tensorwave The ML Engineer, Developer Ecosystem at Tensorwave builds tutorials, reference solutions, and workshop content to support developers using AMD Instinct GPUs. This role also evaluates new ML models and frameworks and collaborates with marketing and engineering teams.

Responsibilities

We're looking for an ML Engineer, Developer Ecosystem to serve as the engineering counterpart to our Developer Ecosystem team. Working within the ML team and reporting to the VP of AI, you will build the tutorials, reference solutions, and workshop content that help developers succeed on TensorWave, and bring hands-on ML expertise to our developer events and technical content.
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 as they are released and develop working examples on our platform
Deliver technical content for workshops and hackathons, and support participants during events
Partner with the marketing team on technical content, contributing topics, outlines, and technical review
Share insights from events and the developer community to inform marketing and ML priorities
Collaborate with ML engineering teams and contribute issue reports and fixes to upstream projects

Qualification

Bachelor of Science in Computer ScienceProficiency with LinuxBased in the San Francisco Bay AreaExperience delivering workshopsOpen source contributor

Required

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
Based in the San Francisco Bay Area, with availability for regular in-person events and occasional travel

Preferred

Experience with AMD Instinct GPUs and the ROCm ecosystem, or equivalent experience with NVIDIA CUDA
Experience with model training and fine-tuning
Experience delivering workshops, talks, or technical training
Experience writing technical documentation, tutorials, or blog posts for developer audiences
Open source contributor

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU
Parental Leave
Life Insurance
Wellness

Company

Tensorwave

View company page

Source: ashby

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

PythonPyTorchHugging FaceLLM inference frameworksLinuxcontainers

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