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Machine Learning Engineer (Full-time Remote, Vietnamese)

Remote: 
Full Remote
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Offer summary

Qualifications:

Solid software engineering skills in Python and C++, Experience in hardware optimization for various processors.

Key responsabilities:

  • Ensure stable operation of software across different hardware configurations
  • Support growing user base by maintaining inference and training processes
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NodeFlair - Tech Salaries, Jobs & more Information Technology & Services Startup https://www.nodeflair.com
11 - 50 Employees
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Job description

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Your missions

The Role

We are seeking a talented Machine Learning Software Engineer to join our team. You will be responsible for ensuring the smooth and stable operation of our software across a wide spectrum of hardware, from consumer-grade devices to powerful server-grade machines. This role plays a crucial role in supporting our growing user base of over 300,000 individuals who have downloaded our product since the beginning of 2024.

Responsibilities

  • Guarantee the stability of inference and training processes across various hardware and software configurations, including:
    • CPU Hardware:
      • Popular consumer and server-grade processors from major vendors (Intel, AMD, Apple)
    • GPU/AI Accelerators:
      • Leading solutions from NVIDIA (CUDA, Triton Inference Server), AMD (ROCm), Intel (Arc, NPU), and Apple (Metal/CoreML)
    • Model Formats:
      • Industry-standard formats like GGUF and PyTorch
    • Operating Systems:
      • Windows, macOS, and Linux
    • Inference Engines:
      • Widely used engines like llama.cpp, vLLM, and TensorRT-LLM
    • Training Frameworks:
      • Popular frameworks like PyTorch and MLX
  • (Bonus) Expertise in edge training/fine-tuning, micro training, and federated training across diverse hardware and software AI stacks.

Requirements

  • Solid software engineering skills with proven experience in Python and C++
  • Effective communication skills in English
  • Familiarity with essential development tools and workflows like Git, CI/CD, and Agile methodologies
  • Experience in hardware optimization for CPUs, GPUs, and NPUs
  • Exposure to large language models (LLMs), including popular foundation models like Llama2, Mistral, and GPT-2
  • (Bonus) Experience deploying LLMs/AI models in production environments (server/edge)

Benefits

  • Competitive all-inclusive compensation package
  • Generous leave policy (14 days + unlimited sick leave)
  • Annual equipment budget available after probation period

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Microsoft Windows

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