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Deep Learning Engineer Jobs in Ontario (NOW HIRING)

Senior Deep Learning Engineer

Toronto, ON ยท On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

Senior Deep Learning Engineer

Toronto, ON ยท On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

As a machine learning engineer, you will be responsible for designing and implementing scalable ... Responsibilities: - Design and implement scalable systems for serving deep learning and ...

Machine Learning Engineer About Themis Intelligence Themis Intelligence builds the Utility ... Develop and deploy machine learning and deep learning models for time-series forecasting, anomaly ...

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Strong programming skills in Python and Scala required. Experience in other programming languages ...

Our work spans the field of machine learning with areas such as deep learning and generative AI ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

Our work spans the field of machine learning with areas such as deep learning and generative AI ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...

Engineering, but brighter. About the Role As a Principal Machine Learning Engineer in Agent Factory ... Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms ...

Senior Machine Learning Engineer

Toronto, ON ยท Remote

$165K - $225K/yr

The ideal candidate will have deep expertise in Machine Learning and building generalizable ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Senior Machine Learning Engineer

Toronto, ON ยท Remote

$165K - $225K/yr

The ideal candidate will have deep expertise in Machine Learning and building generalizable ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with ...

What You'll Need to Succeed To be considered, you'll need strong hands-on experience as a Machine Learning Engineer with deep exposure to time series forecasting and applied ML in production settings.

As part of our team, you will operate at the intersection of deep applied research and scalable ... deep learning, or NLP. * Programming Mastery: Expert-level proficiency in Python and strong ...

Our research broadly spans the field of machine learning with areas such as deep learning and ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end ... You will leverage your deep understanding of modern architectures to lead the development of ...

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Deep Learning Engineer information

See Ontario salary details

$90.5K

$169.3K

$228K

How much do deep learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for deep learning engineer in Ontario is $169,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,500.00 and $188,000.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Ontario? For Deep Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Ontario look for? The top searched job categories for Deep Learning Engineer jobs in Ontario are:
Infographic showing various Deep Learning Engineer job openings in Ontario as of June 2026, with employment types broken down into 10% Internship, 70% Full Time, and 20% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $169,298 per year, or $81.4 per hour.
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Targeted Talent

Toronto, ON โ€ข On-site, Remote

$130K - $180K/yr

Full-time

Posted yesterday


Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.

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About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA