“vLLM” jobs in Canada – Page 4

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• 1mo

  Intern Researcher – AI Foundation Model Training

  Markham, ON

  On-siteInternship

  

  Huawei Technologies Canada Co., Ltd.

  Candidates need to be currently pursuing a PhD or Master's degree in computer science, electrical engineering or a related field. Familiarity with deep learning frameworks such as PyTorch and distributed training concepts is needed, with GPU or accelerator experience and research or open-source contributions as assets.

  PyTorch, vLLM, SGLang, GPU, NPU, TPU

  1mo

  Intern Engineer – RL Post-Training for LLMs

  Vancouver, BC

  On-siteInternship

  

  Huawei Technologies Canada Co., Ltd.

  Candidates need to be enrolled as a Master's or PhD student in computer science, AI or a related field, with a strong background in machine learning, reinforcement learning and deep learning. Proficiency in Python, PyTorch and LLM frameworks is required, and hands-on RL and LLM experience is an asset.

  PyTorch, Hugging Face, DeepSpeed, vLLM, SGLang, VeRL

  1mo

  Research Engineer - AI Workload & Systems

  Markham, ON

  On-siteContract

  

  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

  1mo

  Co-op Researcher – LLM Post-Training & Agentic Coding

  Edmonton, AB

  On-siteInternship

  

  Huawei Technologies Canada Co., Ltd.

  Candidates need to be enrolled in a senior co-op program in computer science, machine learning or AI. They need strong Python and PyTorch skills, solid knowledge of large language models, and hands-on experience with ML research or systems.

  PyTorch, vLLM, SGLang, FSDP, DeepSpeed, Hugging Face

  1mo

  Co-op Researcher – Agentic AI

  Markham, ON

  On-siteInternship

  

  Huawei Technologies Canada Co., Ltd.

  Candidates need to be enrolled in a Bachelor's or Master's computer science or related technical program and be registered for a co-op work term. They need strong Python and PyTorch skills, knowledge of machine learning and deep learning, and strong verbal and written communication.

  PyTorch, Python, HuggingFace, DeepSpeed, vLLM

• 1mo

  Forward Deployed Engineer (Generative AI)

  Remote in Canada

  RemoteFull Time

  

  Tiger Analytics Inc.

  Candidates need hands-on experience with LLM frameworks, vector databases, model serving and cloud AI services. Strong Python, Kubernetes and Terraform skills, plus the ability to explain LLM limitations to clients, are expected.

  LangChain, LlamaIndex, AutoGen, PyTorch, Hugging Face, Kubernetes

  1mo

  Forward Deployed Engineer (Generative AI)

  Remote in Canada

  RemoteFull Time

  

  Tiger Analytics Inc.

  Candidates need advanced Google Cloud and Vertex AI experience, hands-on work with LLM frameworks and vector databases, and strong Python and Terraform skills. They must be able to explain LLM limitations to clients, debug across complex systems, and travel to client sites.

  Vertex AI, Google Kubernetes Engine, Terraform, Google Cloud SDK, Kubeflow, LangChain

• 1mo

  Ingénieur ou ingénieure de recherche en IA

  Toronto, ON

  

  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

  1mo

  AI Research Engineer

  Toronto, ON

  

  Deloitte

  3+ YOECandidates need 3+ years in machine learning, data engineering or applied research, with strong Python and deep learning framework skills. Hands-on experience with Hugging Face, reinforcement learning fine-tuning, distributed GPU training and LLM serving is required.

  Hugging Face Transformers, Hugging Face TRL, PyTorch, vLLM, DeepSpeed, Weights & Biases

  1mo

  Conseiller(ère) principal(e)- Ingénierie IA

  Montréal, QC

  

  Deloitte

  3+ YOEAu moins trois ans d'expérience en apprentissage machine ou recherche appliquée; Maîtrise de Python et de PyTorch, TensorFlow ou JAX; Expérience avec Hugging Face Transformers et TRL

  Hugging Face, PyTorch, TensorFlow, JAX, DeepSpeed, vLLM

  1mo

  Conseiller(ère) principal(e) - Ingénierie IA

  Montréal, QC

  

  Deloitte

  3+ YOEAu moins trois ans en apprentissage machine, ingénierie des données ou recherche appliquée; Maîtrise de Python et de PyTorch, TensorFlow ou JAX; Expérience avec Hugging Face Transformers et TRL

  Hugging Face Transformers, TRL, DeepSpeed, vLLM, PyTorch, Weights & Biases

• 1mo

  Principal Engineer, Efficient GenAI

  Markham, ON

  Full Time

  AM

  Advanced Micro Devices, Inc

  Candidates need deep hands-on experience with generative AI models such as LLMs, 3D world models or image/video generation, plus large-scale model training. A PhD or Master's degree in a related field and several years of AI and deep learning experience are required.

  PyTorch, JAX, vLLM, SGLang, MuJoCo

  1mo

  AI Systems Engineer – AI Model (Training & Inference)

  Markham, ON

  Full Time

  AM

  Advanced Micro Devices, Inc

  Candidates need hands-on experience shipping LLMs on real hardware and writing GPU kernels that improved production performance. They also need experience building distributed AI infrastructure, plus a relevant bachelor's, master's or PhD in computer or software engineering or computer science.

  HIP, Triton, MLIR, ROCm, RCCL, Kubernetes

• 1mo

  Applied AI Engineer

  Montréal, QC

  Full Time

  

  Norbert Health

  4+ YOENorbert Health needs candidates with 4+ years shipping ML or AI systems in production, strong Python and model deployment skills, and hands-on fine-tuning experience. A BS in a related field or equivalent hands-on experience is also expected.

  Vertex AI, SageMaker, Azure ML, TensorRT, vLLM, llama.cpp

• 1mo

  Principal AI Cloud Engineer

  Toronto, ON

  Full Time

  

  Bank of Montreal

  7+ YOECandidates need a degree in computer science or engineering, 7+ years building large cloud systems and 5+ years on Azure or AWS. They need strong hands-on skills in Kubernetes, infrastructure-as-code, GPU clusters, MLOps and LLMOps, plus Python and Go or TypeScript.

  Kubernetes, Terraform, Bicep, Azure, AWS, Prometheus

• 1mo

  AI Architect (T & I) (Telework/Hybrid)

  Montréal, QC +2

  Full Time

  C

  CBC/Radio-Canada

  5+ YOECandidates need at least five years of AI/ML deployment experience and eight years building software platforms, plus a degree in a related field. Functional bilingualism in English and French and experience with media production platforms are required.

  PyTorch, vLLM, DeepSpeed, Kubernetes, Docker, Avid Interplay

• 1mo

  AI Runtime Engineer

  Canada

  

  EnCharge AI

  3+ YOECandidates need a bachelor's or master's degree in a related field and 3+ years of low-level runtime experience for accelerators, GPUs or HPC systems. Strong C/C++, concurrency, memory hierarchy knowledge and debugging and profiling skills are required.

  C++, ONNX Runtime, TensorRT, TVM, OpenVINO, vLLM

• 1mo

  Staff Machine Learning Engineer

  Toronto, ON

  

  OpenTable

  7+ YOECandidates need 7+ years of software engineering experience, with substantial time building and operating ML systems in production. They need strong Python, a typed language such as Java, hands-on cloud model-serving experience, and MLOps and technical leadership skills.

  Spark, Airflow, SageMaker, Snowflake, PyTorch, Docker

• 1mo

  Compute Solution Architect

  Montréal, QC +1

  RemoteFull Time

  

  Mistral

  5+ YOECandidates need 5 to 10+ years in cloud solutions, technical account management or customer engineering roles, plus hands-on AI/ML workload experience. Mistral also wants working knowledge of cluster orchestration tools such as Slurm and Kubernetes.

  Slurm, Kubernetes, PyTorch, JAX, TensorFlow, vLLM

• 1mo

  Principal / Staff Data Scientist

  Remote in Canada

  Remote

  

  Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…

  Candidates need an advanced degree in statistics, machine learning or a related field, and hands-on experience training and deploying production models. Production experience with classical ML for fraud, recommendation or churn, plus MLOps and model serving knowledge, is also required.

  MLflow, vLLM, Claude, Copilot, Cursor

• 1mo

  Senior MLOps Engineer

  Vancouver, BC

  

  Later

  7+ YOECandidates need 7+ years of DevOps, cloud or software engineering experience, including technical leadership. Later requires deep Kubernetes (EKS) and Helm experience, hands-on AWS and Terraform skills, and experience deploying and scaling ML models in production.

  Kubernetes, EKS, Helm, Terraform, AWS, GCP

• 1mo

  Ingénieur.e sénior en apprentissage automatique distribué

  Montréal, QC

  

  LoiZéro

  3+ YOEDiplôme en informatique ou génie logiciel requis; Maîtrise ou doctorat en ML préférable; Plus de 3 ans d'expérience en frameworks ML distribués

  Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl

  1mo

  Développeur Senior Traitement de Données ML

  Montréal, QC

  

  LoiZéro

  5+ YOEDiplôme en informatique, génie logiciel ou domaine connexe; Plus de 5 ans d'expérience en traitement de données textuelles massives ou NLP; Expérience de Spark, Ray ou Flink pour le traitement distribué

  Python, Spark, Ray, Flink, Airflow, Prefect

• 1mo

  Staff Software Engineer, ML Infra & Distributed Systems

  Toronto, ON

  Hybrid

  

  Tubi - Canada: As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest…

  Tubi - Canada needs experience designing scalable distributed backend systems in a modern language, with Scala or JVM a plus. Candidates should have AWS experience, low-latency microservice experience, and skills with SQL and NoSQL databases, Kafka, Redis, Docker or Kubernetes, and leading major incident response.

  Scala, AWS, Kafka, Redis, Docker, Kubernetes

14 companies