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Pytorch Developer Jobs in Ontario (NOW HIRING)

NTENT

Machine Learning Engineer

Toronto, ON · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

New

Waabi

Senior / Staff ML Onboard Optimization Engineer

Toronto, ON · On-site +1

CA$141K - CA$249K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... engineers to scale safe self-driving systems using an AI-first approach. - Expand the model ... PyTorch Profiler and NVIDIA Nsight. - Experience with Nvidia embedded platforms such as Nvidia ...

Quincus

Machine Learning Engineer

Toronto, ON

... 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.

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)

Levio

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

  • PTO

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 ...

Bree

Machine Learning Engineer

Toronto, ON · On-site

$100 - $130/hr

  • Dental

  • Vision

  • PTO

About the Role We're looking for aMachine Learning Engineer to build and scale high-impact, world ... Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch.

Netomi

Prompt Engineer

Toronto, ON

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

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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:

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 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Machine Learning Engineer

NTENT

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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