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Senior Embedded Machine Learning Jobs in Toronto, ON

Sage Recruiting

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

Embedded Engineer - Scientific Robotics & Automation Location: Flexible / Hybrid (in-office ... Machine learning or signal analysis * Predictive diagnostics * Data analysis and sensor readout ...

EvenUp

Staff Machine Learning Engineer

Toronto, ON · Remote

$212K - $301K/yr

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how ... senior engineers, and driving decisions that shape both product outcomes and company growth. What ...

EvenUp

Staff Machine Learning Engineer

Toronto, ON · On-site

$160 - $210/hr

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how ... senior engineers, and driving decisions that shape both product outcomes and company growth. What ...

Thundersoft

Embedded Software Test Engineer

Toronto, ON · Remote

CA$70K - CA$110K/yr

Machine Learning Test Developer Location: Markham ON Key Responsibilities * Test development for ... Embedded system testing (must have) * Excellent debugging and troubleshooting skills (must have)

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Senior Embedded Machine Learning information

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are some common challenges faced by Senior Embedded Machine Learning Engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What does a Senior Embedded Machine Learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.
What are the most commonly searched types of Embedded Machine Learning jobs in Toronto, ON? The most popular types of Embedded Machine Learning jobs in Toronto, ON are:
Senior Embedded Machine Learning jobs near you
Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada

Machine Learning Engineer 3D Geometry & Multimodal AI Toronto, Canada

Autodesk

Toronto, ON

CA$123K - CA$180K/yr

Other

Posted 10 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies

Job description

Job Requisition ID #

26WD99904

Position Overview

We are seeking a Senior Machine Learning Engineer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal candidate has expertise across the machine learning lifecycle, including research, experimentation, data pipelines, model training, evaluation, MLOps, and production deployment.

You will work closely with researchers and engineers to develop innovative AI solutions involving 3D geometry, multimodal AI, and generative AI, helping transform research into production-ready product capabilities. You enjoy solving complex technical problems, exploring new ideas, and collaborating across teams to deliver scalable, high-quality machine learning solutions.

Responsibilities

  • Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI

  • Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference

  • Work with complex datasets and representations for model training, evaluation, and analysis

  • Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality

  • Collaborate with researchers and engineers to transform experimental ideas into scalable, production-ready product capabilities

  • Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement

  • Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency

  • Document and present technical designs, experimental results, and findings to collaborators and leadership

Minimum Qualifications

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience

  • 5+ years of professional experience developing machine learning solutions

  • Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment

  • Experience working in research or experimental environments with evolving requirements

  • Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face)

  • Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)

  • Experience working with complex data representations, including 2D and 3D geometry

  • Experience with version control, reproducibility, and deploying machine learning models

  • Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows

  • Excellent written and verbal communication skills

Preferred Qualifications

  • Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related field

  • Experience with LLMs or generative AI systems (e.g., fine-tuning, prompting, evaluation, or agentic workflows)

  • Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)

  • Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)

  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries

  • Experience with Autodesk or similar products (e.g., CAD, CAE, CAM)

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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