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Pytorch Developer Jobs in Ontario (NOW HIRING)

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion). * Proficiency in C/C++ programming and experience with low ...

AI Engineer

Ottawa, ON

CA$75K - CA$110K/yr

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

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... You write efficient and maintainable code in Python and PyTorch, as well as in at least one native ...

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 ...

PyTorch). * Speech Expertise: 3+ years of experience in Speech Synthesis (TTS) or Voice Design ... Prompt Engineering: Proven experience crafting and evaluating LLM prompts (system, few-shot) and ...

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 ...

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 ...

... PyTorch. - Experience with GPU programming using CUDA, OpenCL, or similar libraries. - Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS.

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)

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 ...

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 ...

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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 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 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 popular job titles related to Pytorch Developer jobs in Ontario? For Pytorch Developer jobs in Ontario, the most frequently searched job titles are:
Infographic showing various Pytorch Developer job openings in Ontario as of June 2026, with employment types broken down into 84% Full Time, 4% Part Time, and 12% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Software Engineer and Tools Developer Intern (Fall 2026)

Software Engineer and Tools Developer Intern (Fall 2026)

Ciena

Ottawa, ON • On-site

CA$25 - CA$34/hr

Full-time

PTO

Posted 21 days ago


Job description

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity-driving our business priorities alongside meaningful social, community, and societal impact.

Are you ready to be part of the next generation of networking innovation?

Join Ciena's AI/ML/DL Packet Team and contribute to the development of cutting-edge solutions for our coherent metro router, designed to unify IP and Optical in the metro with ultimate flexibility, future-proof extensibility, and improved sustainability. This is your opportunity to work on next-generation optical transport solutions and Layer 2/3 switching and routing technologies.

How You Will Contribute:

  • Develop AI tools and applications (ML, Kubernetes) that extend the capabilities of system/platform solutions.

  • Participate in the development of embedded, real-time software for telecommunications systems.

  • Code, test, and support software releases, ensuring high-quality delivery.

  • Collaborate with Senior Designers and architects for mentoring and coaching while contributing to team objectives.

  • Solve problems, analyze issues, and innovate to enhance system capabilities.

The Must Haves:

  • Currently pursuing a degree in Computer Science, Computer Engineering, or a related field.

  • Strong interest in embedded programming and telecommunications systems.

The Assets:

  • Experience with programming languages such as C, C++, Python, Go, or BASH.

  • Familiarity with AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Jupyter.

  • Exposure to Kubernetes, React.js, REST APIs, and Linux as a development environment.

  • Understanding of datacom and telecom concepts (Ethernet, TCP/IP, MPLS, DWDM).

  • Experience with low-level real-time software/firmware development.

  • Familiarity with CLI, SNMP, NETCONF, REST, gRPC, and tools like Git, Eclipse, JIRA, Confluence, GDB, and Yocto.

  • Knowledge of YANG modeling language and toolchains.

  • Exposure to automation and testing processes.

Pay Range: The pay range for this position is $25.00 - $34.00

Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available.


In addition to competitive compensation, Ciena offers students access to the Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation pay as required by applicable laws.
At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is anEqual Opportunity Employer, including disability and protected veteran status.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.