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Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need strong research and software engineering skills, hands-on experience training LLMs, and experience applying reinforcement learning to LLMs. A record of work on generalization, robustness or distribution shift, and rigorous experimental practice are also required.
JAX, PyTorch, FSDP, Megatron
LG Electronics Canada
3+ YOECandidates need a PhD in machine learning, AI or robotics with 3+ years of R&D experience, or a master's with 6+ years. Strong publications at top conferences, deep learning expertise, PyTorch or JAX skills, and experience with robot foundation models are required.
PyTorch, JAX, ROS1, ROS2, Isaac Sim, Genesis
Block: Block Law is a results-driven law firm dedicated to representing individuals who have been seriously injured or are living in uninhabitable housing…
Block needs candidates currently enrolled in an MS or PhD in computer science, machine learning, statistics, mathematics, operations research, or a related field who will return after the co-op. They need solid deep learning foundations, Python and PyTorch or JAX skills, and a record of independent research such as publications or open-source work.
PyTorch, JAX, Python
Randstad Canada
Candidates need deep hands-on Java and Spring Boot experience, strong Angular and Node.js skills, and practical work with GitHub, Jenkins and REST or SOAP web services. They also need solid SQL database experience, a bachelor's degree in a technical discipline, and familiarity with Agile methods.
Java, Spring Boot, Angular, Node.js, GitHub, Bitbucket
Huawei Technologies Canada Co., Ltd.
Candidates need an MS or PhD in computer science or a related quantitative field, deep knowledge of reinforcement learning, and publications at top AI conferences. They also need strong Python and deep learning skills plus an understanding of hardware limits on edge devices.
PyTorch, JAX, TensorFlow, Python, C++, CUDA
Huawei Technologies Canada Co., Ltd.
2+ YOECandidates need 2 to 5 years of compiler development experience, strong C++ skills, and working knowledge of LLVM and MLIR. A Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or a related field is required.
LLVM, MLIR, PyTorch, TensorFlow, JAX, OpenCL
Huawei Technologies Canada Co., Ltd.
2+ YOECandidates need a Master's or PhD in a related field and at least 2 years of research or industry experience. Strong Python and deep learning skills with PyTorch, TensorFlow or JAX are required, along with the ability to reproduce research independently.
PyTorch, TensorFlow, JAX, Python
Huawei Technologies Canada Co., Ltd.
3+ YOECandidates need a Master's or PhD in a related field (strong Bachelor's considered), 3+ years of research or industry experience, and hands-on deep learning skills in PyTorch, TensorFlow or JAX. Experience with multimodal learning, LLMs or on-device deployment is a strong asset.
PyTorch, TensorFlow, JAX, Python
Huawei Technologies Canada Co., Ltd.
Candidates need a strong understanding of modern AI architectures and AI accelerator hardware such as GPUs and TPUs. Hands-on kernel development experience with CUDA or Triton, plus LLM inference and profiling experience, is required; a PhD is an asset.
CUDA, Triton, TileLang, vLLM, SGLang, PyTorch
Huawei Technologies Canada Co., Ltd.
Candidates need a PhD in a computer-related field, ideally in AI/ML or computer architecture, plus industry experience. They should know AI frameworks such as PyTorch, TensorFlow or JAX, be proficient in C/C++, and have hands-on experience with a GPU ecosystem such as CUDA, Vulkan, OpenGL, OpenCL or WebGPU.
PyTorch, TensorFlow, JAX, CUDA, Vulkan, OpenGL
Huawei Technologies Canada Co., Ltd.
2+ YOECandidates need a PhD or equivalent research experience in machine learning or a related field, plus 2+ years of applied impact in model compression, efficient architectures, or edge optimization. Strong Python and C/C++ skills, deep learning frameworks, and a publication or patent record in ML efficiency are required.
PyTorch, TensorFlow, JAX, ONNX, TFLite, TensorRT
Huawei Technologies Canada Co., Ltd.
Candidates need to be enrolled in a Master's or PhD program in computer science, engineering, AI or a related field. They should have strong Python and programming skills, basic machine learning experience with PyTorch, TensorFlow or JAX, and an ability to build and troubleshoot projects independently.
PyTorch, TensorFlow, JAX, Linux, Android
Deloitte
3+ YOEAu moins trois ans en ingénierie de l’apprentissage machine ou en recherche appliquée; Solides compétences en Python et en PyTorch, TensorFlow ou JAX; Expérience avec Hugging Face Transformers et la bibliothèque TRL
Python, PyTorch, TensorFlow, JAX, Hugging Face, vLLM
13 companies