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.
Can be initially remote, with the ability to work in-person in San Francisco later.
Commitments
Can be initially remote, with the ability to work in-person in San Francisco later.
Not Met Priorities
What still needs stronger evidence
Requirements
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.
Preferred Skills
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).
Education
(Required)
– Must Have
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.
Unsloth AI
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San Francisco, CA