Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing and optimizing large-scale training systems for multimodal and foundation models with an accent on distributed training and GPU performance. Focus on implementing custom CUDA/Triton kernels and maximizing compute/memory efficiency to scale AI capabilities.

Location: Based in Beijing, China

Company

hirify.global is a global AI-powered design platform building a creative intelligence engine for a future of AI-assisted design.

What you will do

• Design, implement, and optimize large-scale machine learning systems for training.
• Improve GPU utilization, communication overhead, and memory efficiency.
• Partner with research and modeling teams to align infrastructure with algorithmic needs.
• Implement distributed training using frameworks like Megatron-LM, NVIDIA NeMo, and FSDP.
• Develop custom CUDA or Triton kernels for low-level optimization.
• Profile and fine-tune training workflows to ensure maximum scalability.

Requirements

• Strong background in LLMs, multimodal AI, or diffusion models.
• Proficiency in Python; familiarity with C++ or Rust is a plus.
• Deep knowledge of PyTorch or JAX, and libraries such as Megatron-LM, NeMo, or DeepSpeed.
• Experience with optimization techniques like FSDP/ZeRO and gradient checkpointing.
• Hands-on experience writing custom GPU kernels in CUDA or Triton.
• Full proficiency in English.
• Must be based in Beijing, China.

Culture & Benefits

• Opportunity to work at the intersection of systems and AI research.
• Collaborative global environment focused on shipping impactful research at massive scale.
• Open to candidates at all experience levels, including experienced professionals and 2025/2026 graduates.