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Ai Math Training Jobs in Ontario (NOW HIRING)

AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

Build data pipelines for training, evaluation, and deployment of models * Develop reinforcement ... Bachelor's degree in Computer Science, AI/ML, Mathematics, or a related field * Strong programming ...

University degree in computer science, engineering, data science, mathematics, or a related ... model training, validation, deployment, and monitoring. * Practical experience with ML Ops ...

Create clear documentation, training materials, and visual process maps that make adoption ... Mathematics, Engineering, Economics, or Data Analytics who loves both the technical side of ...

Data Scientist, AI Deployment

Toronto, ON · Hybrid

CA$125K - CA$188K/yr

... training, and activation, so that model decisions are delivered to personalize experiences for ... Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field ...

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Ai Math Training information

What are some common challenges faced in an AI Math Training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

What are the key skills and qualifications needed to thrive in the Ai Math Training position, and why are they important?

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What is an AI Math Training job?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

What are popular job titles related to Ai Math Training jobs in Ontario? For Ai Math Training jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Ai Math Training jobs in Ontario look for? The top searched job categories for Ai Math Training jobs in Ontario are:
Infographic showing various Ai Math Training job openings in Ontario as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Principal Engineer - Gen AI training and inferencing

Principal Engineer - Gen AI training and inferencing

Amd

Thornhill, ON

Full-time

Posted 26 days ago


Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

25th of 142 rated electronics manufacturers


Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

Responsibilities

THE ROLE:

The AI Models and Applications team at AMD is looking for a specialized Principal level engineer who is passionate about enabling innovative and efficient Generative AI training/inferencing at scale. You will be part of a core team of incredibly talented specialists and work on scaling training and inference for the latest Generative AI models.

THE PERSON:

The ideal candidate has deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation, has experience training models at scale and is passionate about innovating efficient approaches to enable distributed training and inference at scale on AMD devices.

Why Join Us?

  • Exciting Opportunities: As a Senior member on the team, you will be at the forefront of innovation, working with the latest Gen AI models and algorithms. You will have the opportunity to shape the future of AI model training and inference optimizations across a variety of applications.
  • Talented Team: Join a team of highly skilled industry specialists who are passionate about pushing the boundaries of AI. Collaborate with like-minded professionals and learn from the best in the field.
  • Cutting-edge Technology: Work with state-of-the-art GenAI algorithms and software enabling you to stay ahead of the curve and drive advancements in AI model training at Scale and deployment.
  • Impactful Work: Your contributions will directly influence how cutting-edge gen AI models across the industry are efficiently trained at scale as well as inferencing deployed to serve millions of customers, making a significant difference in various industries and applications.

KEY RESPONSIBILITIES:

  • Propose and apply innovative techniques to support both training and inferencing including innovative transformer architectures, parallelism strategies to train on large clusters, low-precision training.
  • Implement novel efficient architectures for Generative AI models for training and inference and showcase benefits on AMD
  • Work with open-source framework and community (e.g., PyTorch, JAX, Hugging Face) to integrate AMD optimized models, libraries and publish training recipes.
  • Collaborate with software and hardware team to E2E co-optimize performance on current and future AMD solutions.
  • Publish and promote your work within AMD and at external venues.

PREFERRED EXPERIENCE:

  • Strong technical expertise in Gen AI model training and inference, and familiarity working with deep learning frameworks like PyTorch/JAX.
  • Strong technical expertise in algorithmic innovation towards efficient Gen AI application for both training and inferencing.
  • Expertise/publications in one of the areas preferred - efficient model architectures, optimized training, innovative parallelism strategies or low-precision training.
  • Additional plus if publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc.
  • Experience productizing generative AI models and training foundation model at Scale
  • Excellent written, verbal, and presentation skills, ability to coordinate internally and externally.
  • Several years of experience in AI, deep learning and related software development.

ACADEMIC CREDENTIALS:

PhD or master's degree or above; with major in CS, EE, Mathematics, or a related field.

LOCATION:

Markham, Ontario, Canada (Hybrid)Can also consider Calgary, Alberta, Canada 

#LI-MV1

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Qualifications

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's "Responsible AI Policy" is available here.

 

This posting is for an existing vacancy.

Employment Type: FULL_TIME

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

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