Senior Machine Learning Engineer for Large Model Applications

5 days ago

Kingston, Ontario, Canada Huawei Technologies Canada Co., Ltd. Full time

Job Description:

Our company, Huawei Technologies Canada Co., Ltd., has an immediate opening for a Senior Machine Learning Engineer to join our team in developing cutting-edge infrastructure and platforms for large model applications.

Key Responsibilities:

  • We are seeking an experienced engineer to research, prototype, and build core infrastructure, tooling, and platforms to improve the productivity, quality, and efficiency of engineering and serving foundation model applications.
  • You will design, implement, and assess application programming APIs, frameworks, and runtime systems software for heterogeneous architectures, such as GPU and NPU, with expertise in machine learning systems or AI infrastructures.
  • The selected candidate will support the integration process of novel software frameworks on in-house hardware platforms, including performance modeling, analysis of future computing architectures, resource allocation and management, scheduling, fault tolerance and resiliency, communication, and shared memory.
  • You will have opportunities to collaborate with top researchers and students, consult with Engineering teams across diverse domains, publish research papers in impactful areas, and submit patent applications for novel inventions.

Requirements:

  • A Master's or Ph.D. degree in Computer Science, Electrical & Computer Engineering, Machine Learning, or relevant domains.
  • Significant experience with one or more of the following programming languages: Python, C, C++, Go; familiarity with software development practices (version management, build management, CI/CD, debugging, and profiling).
  • Solid understanding in any of these areas: Machine Learning and/or Deep Learning, Large Models Training and Finetuning (e.g., NLP/CV).
  • Experience with mainstream model training and inference frameworks and tools (e.g., PyTorch, TensorFlow, PaddlePaddle, OneFlow, MindSpore, HuggingFace Transformer&Accelerate, DeepSpeed, Megatron, FasterTransformer, Triton Inference).
  • Familiarity with Computer Architecture, Distributed Computing, Parallel Computing, Cloud Native, Operating Systems, Networks; experience in using frameworks and tools of any of the aforementioned areas (e.g., Spark, Flink, Ray for Distributed Computing, Docker, K8S for Cloud-Native app/framework development).
  • The ability to evaluate, apply, and mature published research to real-world problems on prototype systems.
  • An inquisitive mindset, proven research and communication skills, the ability to conduct investigations and experiments independently, and interpret experiment data and present results clearly and concisely.
  • Prior publications in related top-tier venues (e.g., ICSE, FSE, TSE, ICLR, ICML, NeurIPS, OSDI, SOSP) are an asset.

Benefits:

  • A competitive salary range of $180,000 - $220,000 per year, depending on qualifications and experience.
  • A comprehensive benefits package, including medical, dental, and vision coverage, retirement savings plan, and paid time off.

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