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Remote Machine Learning Robotics Jobs in Toronto, ON

Waabi

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling. - Expert domain knowledge: You have ...

Serve Robotics

IT Project Manager

Toronto, ON · Remote

$104K - $135K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Waabi

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field.. - Strong prototyping and ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... machine learning or robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement ...

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Remote Machine Learning Robotics information

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Toronto, ON? For Remote Machine Learning Robotics jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Toronto, ON look for? The top searched job categories for Remote Machine Learning Robotics jobs in Toronto, ON are:
Remote Machine Learning Robotics jobs near you
Machine Learning Engineer, ML Systems and Infrastructure

Machine Learning Engineer, ML Systems and Infrastructure

Autodesk

Toronto, ON • On-site, Remote

Full-time

Posted 8 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 190 rated software companies

Job description

Job Requisition ID #

26WD98119

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings,machines, and even the latest movies, we influence and empower some of the most creative people in the world to solveproblems that matter.

Autodesk is looking for an ML Engineer, ML Systems and Infrastructure to help build the technical foundation behind large-scale machine learning systems. In this role, you will partner with AI researchers, software engineers, and platform teams tobuild scalable pipelines, training infrastructure, data workflows, and production-ready ML systems that support the nextgeneration of AI-powered product experiences.

This is an engineering-first role focused on building and operating ML systems at scale. You will work on problems such asdistributed training workflows, data processing pipelines, model evaluation infrastructure, deployment systems, and platform tooling that improves reliability, efficiency, and developer velocity.

This role is fully remote-friendly, with team members distributed across the US and Canada.

RESPONSIBILITIES

  • Build and maintain components of ML pipelines for data preparation, model training, evaluation, deployment, and monitoring

  • Develop reliable software and infrastructure that supports scalable machine learning workflows

  • Contribute to distributed data processing and training systems used by researchers and engineering teams

  • Support data ingestion, transformation, validation, and serving for large-scale structured and semi-structured technical datasets

  • Improve automation, testing, CI/CD, observability, and operational reliability for ML systems

  • Troubleshoot data, infrastructure, and performance issues in collaboration with senior engineers

  • Participate in design discussions and contribute ideas that improve system scalability, maintainability, and efficiency

  • Document technical decisions, workflows, and operational processes clearly

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 2 years of industry experience in software engineering, machine learning infrastructure, distributed systems, data platforms, or related areas

  • Strong software engineering fundamentals, including coding, testing, debugging, and code quality

  • Proficiency in Python and experience building production-quality software

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, version control, CI/CD, and modern development workflows

  • Experience working with data-intensive systems, backend systems, or ML pipelines

  • Ability to work independently on well-defined problems with moderate ambiguity

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Familiarity with data lineage, provenance, governance, and responsible data usage in ML systems

  • Familiarity with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Familiarity with model deployment, inference services, monitoring, and observability for production ML systems

  • Familiarity with ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience working with CAD, BIM, AEC, or other complex domain-specific data formats

THE IDEAL CANDIDATE

  • Is a strong software engineer with interest in machine learning systems

  • Enjoys improving reliability, automation, and operational excellence

  • Communicates clearly and collaborates well across functions

  • Learns quickly and thrives in a fast-moving environment

  • Brings sound judgment, curiosity, and ownership to engineering work

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 $0 and $0. 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.

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

Are you an existing contractor or consultant with Autodesk?

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

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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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