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Machine Learning Software Engineer

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Proven track in Python, C++, Experience with hardware optimization, Familiarity with LLMs and development tools.

Key responsabilities:

  • Ensure Jan's inference and training stability
  • Support a wide range of hardware
  • Optimize for different OS and processors
Jan logo
Jan Startup https://jan.ai/
11 - 50 Employees
See more Jan offers

Job description

Jan is a desktop application that turns computers into thinking machines, enabling open-source LLMs and remote API AIs on Windows, Mac, or Linux. Since its January 2024 release, it has been downloaded over 500,000 times. With a vision to redefine human-machine collaboration, Jan aims to revolutionise our interaction with technology. It ensures complete ownership, privacy, and full customisation for its users.


Jan is looking for a Machine Learning Software engineer can help run Jan on a wide variety of consumer-grade hardware to server-grade hardware, to support the 300,000 people who have downloaded Jan since 1st Jan 2024.


Responsibilities

Ensuring Jan’s inference and training to run stably on the following dimensions:

  • CPU Hardware:
    • Intel consumer and Xeon (incl. AVX-2, AVX-512, AVX instructions).
    • AMD Ryzen.
    • Apple Silicon.
  • GPU/ AI specific Hardware:
    • Nvidia (CUDA, Triton Inference Server using either vLLM/ TensorRT-LLM Backends).
    • AMD (ROCm), AMD Ryzen AI.
    • Intel Arc (sycl, Big DL, Intel Extensions for Transformers), Intel NPU.
    • Apple Metal/ CoreML.
  • Cross-platform model format (e.g. GGUF, Pytorch).
  • Operating Systems (Windows, MacOS, Linux).
  • Popular Inference engines (llama.cpp, vLLM, TensorRT-LLM).
  • Popular Training framework (Pytorch, MLX).
  • [Bonus] Edge training/ fine-tuning, micro training/ federated training on various hardware and software AI stacks.


Requirements

  • Demonstrated software engineering skill and proven track in Python, C++.
  • Ability to be communicative in English.
  • Familiar with development tools and workflows such as Git, CI/CD, Agile.
  • Experience with hardware optimization (CPU, GPU, NPU).
  • Experience but not limited to LLMs, including popular foundation models like Llama2, Mistral, GPT2.
  • [Bonus] Experience running LLMs/ AI models in production in server/ edge.


Benefits

  • We pay an “all-in” pay and you will cover your own insurance/medical from the amount.
  • 14 days leave (and unlimited sick days).
  • Annual equipment budget (once 2 month probation has been completed).


Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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