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Pytorch Developer Jobs in Ontario (NOW HIRING)

HeyGen

Research Engineer

Toronto, ON · On-site

Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead ... Experience with deep learning frameworks such as PyTorch, and a capacity for quickly mastering new ...

Td

Senior Java Developer, TD Securities

Toronto, ON · On-site

CA$125K - CA$156K/yr

Leverage industry standard DevOps practices and tooling for CI/CD, TDD and build tools Development ... kit-learn and PyTorch * Experience of NoSQL databases, Hadoop, distributed caching (Redis ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Machine Learning Engineer Position: Full time Location: Toronto, Ontario (Initially Remote) About ... Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark ...

Lemurian Labs

As a Senior DSL Compiler Engineer, you will focus on the compiler frontend: scanning, parsing, AST ... Familiarity with PyTorch or similar machine learning frameworks. * Experience with Python language ...

Palona AI

AI Modeling Engineer

Toronto, ON · On-site

Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or ... Strong software engineering judgment; your work is reproducible, tested, observable, and usable by ...

Palona AI

AI Modeling Engineer

Toronto, ON · On-site

Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or ... Strong software engineering judgment; your work is reproducible, tested, observable, and usable by ...

Clockwork.io

CA$150K - CA$230K/yr

Work with internals of frameworks like PyTorch, NCCL, CUDA runtime-not as a user, but modifying and ... GPU programming (CUDA) or GPU systems experience * High-performance networking (RDMA, InfiniBand)

Talentlab

Senior Staff Compiler Engineer

Markham, ON · On-site

Senior Staff Compiler Engineer Toronto/Hybrid We are partnered with a global leader in the ... Pytorch, Tensorflow, ONNX) is an asset. * On-silicon debug skills of high-performance compute ...

Spaceium

Robotic AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

Strong programming skills in Python ... Experience with machine learning frameworks (PyTorch, TensorFlow, or similar) * Understanding of ...

Levio

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and ... Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn) * Hands-on ...

Netomi

Prompt Engineer

Toronto, ON · On-site

Proficiency in programming languages such as Python ... Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face).Excellent ...

Royal Bank of Canada

Lead AI Engineer

Toronto, ON

Microsoft Azure certification (Azure Developer Associate or Azure Solutions Architect Expert ... PyTorch What's In It For You? We thrive on the challenge to be our best, embrace progressive ...

Bits In Glass

Intern

Toronto, ON · On-site +1

Remote/Hybrid Description As a ML Developer Intern you will work closely with the ML Developers and ... Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit ...

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Ontario?

For Pytorch Developer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Ontario look for?

The top searched job categories for Pytorch Developer jobs in Ontario are:

Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Ontario as of August 2026, with employment types broken down into 75% Full Time, 12% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Research Engineer

HeyGen

Toronto, ON • On-site

Full-time

Re-posted 27 days ago

Job description

Driving Product Innovation with Advanced Computer Vision Technology

HeyGen is a dynamic startup at the forefront of revolutionizing video content with state-of-the-art artificial intelligence technology. With a robust track record of growth and a proven business model, we are rapidly carving out a leadership position in the AI-powered video creation industry. We are in search of passionate Research Scientists with a specialization in Computer Vision to propel our mission forward. If you are eager to deploy your advanced skills to disrupt and redefine the video creation and interaction experience, your next big opportunity awaits with us.

Key Responsibilities:

  • Applied Innovation and Product Development: Harness your knowledge of generative models, including GANs, Diffusion models, and other multi-modal models, to propel our video creation tools forward. Your role involves translating state-of-the-art research into innovative features that directly enhance our user experience and set our products apart.

  • Real-World Solutions: Channel your research capabilities to develop scalable solutions that have a significant impact on our platform, making the video creation process more intuitive, powerful, and accessible to our users.

  • Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead to extraordinary outcomes. Embrace an environment that promotes learning, mentorship, and teamwork, furthering both personal development and the advancement of our technology.

Qualifications:

  • A Master's or PhD in Computer Science, Engineering, or a related field
  • 1-3 years of experience in machine learning and computer vision, demonstrating practical application of generative models and a passion for product-centric innovation.
  • Proficiency in Python, with openness to other programming languages and tools as required by project demands.
  • Experience with deep learning frameworks such as PyTorch, and a capacity for quickly mastering new technologies.
  • A collaborative spirit with a proven track record in a team-based research or development setting.
  • A lifelong learner with outstanding problem-solving skills and the ability to communicate effectively in a diverse team environment.

What HeyGen Offers:

  • Competitive Salary and Benefits: We offer a salary commensurate with your experience and a comprehensive benefits package that addresses a variety of needs.
  • Innovative and Inclusive Work Environment: Our workplace is designed to inspire innovation through collaboration, respect, and mutual support.
  • Opportunities for Advancement: We are committed to your professional development, offering extensive opportunities for learning, mentorship, and career growth.
  • Dedication to Diversity: HeyGen is an equal opportunity employer, championing a diverse and inclusive team that ensures equal access to opportunities for all members.
HeyGen logo

About HeyGen

Sourced by ZipRecruiter

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2020

Social media

Twitter

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