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.
_MUST COMPLETE CHALLENGES BEFORE APPLYING: _https://x.com/danielhanchen/status/1891194528931209644
Must have:
- 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.
About Unsloth AI
Open-Source Reinforcement Learning (RL) & Fine-tuning for LLMs.
Required skills
Job details
Salary
$200,000 - $500,000
Equity
0.3% - 0.7%
Location
San Francisco, CA
Experience
0+ years
Funding
Total raised
$540K
Last stage
Seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.