6 deep learning intern jobs at 5 companies in Sanborn, NY
1mo
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Machine Learning Engineering, Intern
Toronto, Ontario, Canada
$50-$65/hr HybridInternship
Experience building and deploying production ML systems, handling imbalanced datasets, strong ML and deep learning knowledge, collaboration and communication skills, and ability to scale models in regulated finance environments.
PyTorch, LightGBM
2w
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AI & Robotics Intern
Scarborough or Pickering
$22-$30/hr OnsiteInternship
Pursuing a related robotics, computer science, engineering, or mechatronics degree; C++ and Python; robotics, computer vision, Linux, Git, ROS 2, deep learning, simulation, and edge AI experience; GitHub profile required.
C++, Python, PyTorch, Linux, Git, ROS 2, NVIDIA Jetson, TensorRT, SLAM, Nav2, LiDAR, Gazebo, Isaac Sim
1w
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Applied Research Intern (NLP/ML/GenAI)
Toronto, Ontario, Canada
HybridFull Time, Internship
PhD or recent MSc graduate in NLP, information retrieval, machine learning, or statistics; practical ML/NLP systems experience; Python, deep learning, agentic frameworks, GitHub, and cloud familiarity.
Python, Deep Learning, GitHub, Amazon AWS, Microsoft Azure, Google Cloud, Large Language Models (LLMs), ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD
3d
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PhD Intern - AI Researcher for CAD (B-Rep) Generation
Toronto, Ontario, Canada
HybridFull Time, Internship
Currently pursuing a master's or PhD in computer science, AI, machine learning, or related field; deep learning and LLM expertise; strong Python and Git skills; CAD and B-Rep knowledge advantageous.
Qwen 3, gpt-oss, Python, Git, OpenCascade, RAG
1mo
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AI/ML Engineer Intern (2027)
Toronto, Ontario, Canada
HybridInternship
Currently pursuing or recently completed a Bachelor's or Master's in CS, EE, Statistics or related; familiarity with deep learning toolkits; Python proficiency; strong problem formulation and communication skills.
LangChain, LlamaIndex, PydanticAI, Scikit-learn, TensorFlow, PyTorch, Python, AWS, GCP, Azure
3d
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PhD Intern - AI Researcher for CAD (B-Rep) Generation
Toronto, Ontario, Canada
HybridMultiple Commitments Available
Currently pursuing a master's or PhD in a relevant field; deep learning and LLM experience, frontier-model fine-tuning, tool calling, RAG, strong Python and Git skills, and CAD or B-Rep familiarity preferred.
Qwen 3, gpt-oss, Python, Git, OpenCascade, Retrieval-Augmented Generation (RAG)