Startups · AI

Founding ML Engineer

Unsloth AI · San Francisco, CA, US · On-site

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About Unsloth AI

Open-Source Reinforcement Learning (RL) & Fine-tuning for LLMs. Backed by Y Combinator.

About the role

We’re looking for someone who loves open-source and collaborating with the OSS community but also has deep understanding in how transformers and Unsloth works.

What they're looking for

  • Deep knowledge and implementation experience with multi-GPU training techniques such as FSDP
  • Important contributions to ML open-source projects (e.g., transformers, TRL, kernels, Unsloth) with reviewable code
  • Heavy experience working with ML frameworks like Unsloth, Transformers, TRL, and PyTorch
  • Familiarity with inference engines such as vLLM
  • Familiarity with low-level languages and kernels like Triton
  • Understanding of cloud services such as GCP or AWS (bonus)
More about this role

We’re looking for someone who loves open-source and collaborating with the OSS community but also has deep understanding in how transformers and Unsloth works.

_MUST COMPLETE CHALLENGES BEFORE APPLYING: _ https://x.com/danielhanchen/status/1891194528931209644

  • Deep knowledge and implementation experience with multi-GPU training techniques such as FSDP
  • Important contributions to ML open-source projects (e.g., transformers, TRL, kernels, Unsloth) with reviewable code.
  • Heavy experience working with ML frameworks like Unsloth, Transformers, TRL, and PyTorch.
  • Familiarity with inference engines such as vLLM
  • Familiarity with low-level languages and kernels like Triton
  • Understanding of cloud services such as GCP or AWS (bonus).

Can be initially remote, with the ability to work in-person in San Francisco later.

Read the full posting on Unsloth AI's site ↗

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