Machine Learning Engineer (Training Optimization)

About the Role/Specialty

As a Machine Learning Engineer youll lead efforts to scale and optimize the training system for our large-scale multimodal and foundation models. Youll design distributed training systems using Megatron-LM NVIDIA NeMo FSDP and Tritonpushing the limits of performance across compute memory and communication layers. Youll sit at the intersection of systems and AI research directly shaping how we train the models that will power Canvas next generation of products.

What youll do (responsibilities)

• Youll design implement and optimize large-scale machine learning systems for training
• Youll improve all aspects of performance including GPU utilization communication overhead and memory efficiency.
• Youll partner with research and modeling teams to align systems with algorithmic needs.
• Youll evaluate and apply best practices for distributed training using industry-leading frameworks.
• Youll dive deep into low-level optimization including custom CUDA or Triton kernels.
• Youll debug profile and fine-tune training workflows to unlock new levels of scalability.

Qualifications :

What were looking for

Were looking for a systems-first engineer who thrives in fast-paced high-impact environments. Youre deeply familiar with distributed model training at scale and understand the nuances of optimizing compute at every level of the stack. Youre excited by challenges that stretch current boundaries and youre a strong collaborator who communicates clearly across domains.

• Strong background in LLMs multimodal AI or diffusion models.
• Proficiency in Python. Familiarity with a system programming language (e.g. C or Rust) is a plus.
• Deep knowledge of PyTorch or JAX as well as libraries such as Megatron-LM NeMo or DeepSpeed.
• Familiarity with common optimization techniques such as FSDP/ZeRO gradient checkpointing or low-precision data types.
• Hands-on experience writing custom GPU kernels in CUDA or Triton.
• Excellent communication and problem-solving skills incl. full proficiency in English.

Additional Information :

大模型训练优化工程师多模态/图像生成技术要求算子优化/分布式训练/GPU集群/训练框架该岗位面向所有经验阶段的候选人开放包括社会招聘2026年及2027年应届毕业生同时开放实习生岗位

Remote Work :

Yes

Employment Type :

Full-time