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Remote Machine Learning Engineer Jobs in Ontario

Recursion

Engineering Manager - Machine Learning

Toronto, ON · Remote

CA$210K - CA$282K/yr

... engineering, and business teams. * Enable a model-driven culture - Machine learning is at the core ... This is a fully remote position based in Toronto, Canada. At Recursion, we believe that every ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

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Remote Machine Learning Engineer information

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
What are the most commonly searched types of Machine Learning Engineer jobs in Ontario? The most popular types of Machine Learning Engineer jobs in Ontario are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Ontario? For Remote Machine Learning Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Ontario look for? The top searched job categories for Remote Machine Learning Engineer jobs in Ontario are:
What cities in Ontario are hiring for Remote Machine Learning Engineer jobs? Cities in Ontario with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Intern, Machine Learning Developer

Intern, Machine Learning Developer

Autodesk

Toronto, ON • On-site, Remote

Full-time

Posted 3 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 #

25WD92311

Position Overview

At Autodesk, we're reimagining what's possible. As a global leader in 3D design, engineering, and entertainment software, we help people everywhere imagine, design, and create a better world.

As an Artificial Intelligence / Machine Learning (AI/ML) Intern at
Autodesk, you will contribute to the development of our AI platform
capabilities - building shared frameworks and tools that enable product
teams to develop safe, observable, and scalable AI agents. You will work
alongside ML Engineers and Data Engineers to design systems that
standardize context management, evaluation, observability, and responsible
AI practices across Autodesk.
The work we do at Autodesk touches nearly every person on the planet. By
creating software for making buildings, machines, and even the latest movies,
we influence and empower some of the most creative people in the world to
solve problems that matter. For this role, you'll get placed into one of our
multiple teams building ML / AI features into our products or internal tools.

Responsibilities

  • Research and prototype core AI platform components, including
  • context/state SDKs, evaluation harnesses, and safety frameworks
  • Design and implement observability and logging tools for tracing AI
  • agent behaviour, cost, and performance metrics
  • Develop data and model pipelines to support retrieval, prompt
  • management, and consistent memory systems
  • Support model evaluation and testing for reliability, factual accuracy,
  • and drift detection
  • Assist in creating guardrail and redaction APIs to ensure data safety
  • and compliance in prompts and logs
  • Collaborate with product AI teams to integrate platform services
  • (context APIs, observability tools, evaluation frameworks) into active
  • use cases
  • Document findings, contribute to internal SDKs, and help define best
  • practices for responsible and reproducible AI development

Minimum Qualifications

  • Currently enrolled in a full-time undergraduate degree program withexpected graduation in 2027 or later
  • Major in Computer Science, Engineering, Data Science, Statistics, or arelated field
  • Familiarity with Python and ML frameworks (e.g., Scikit-learn, PyTorch TensorFlow)
  • Familiarity with Data Engineering concepts such as data validation,ETL pipelines, and dataset versioning
  • Understanding of Machine Learning lifecycle workflows, modelevaluation, and experimental design
  • Experience with Git and familiarity with cloud environments (e.g., AWS,Azure)

Preferred Qualifications

  • Exposure to LLMs, RAG architectures, or multi-agent systems
  • Familiarity with AI Observability tools (LangFuse, Weights & Biases,OpenTelemetry, etc.)
  • Understanding of context and state management for AI agents (e.g.,memory stores, embeddings, retrieval APIs)
  • Experience with prompt safety, PII redaction, or governanceframeworks
  • Interest in building shared ML tools and SDKs for other developers toadopt
  • Knowledge of semantic evaluation metrics and responsible AIpractices

What You'll Gain

  • Experience building core AI platform services that scale across multipl Autodesk products
  • Hands-on exposure to responsible AI frameworks, observabilitysystems, and multi-agent architectures
  • Opportunity to work with cross-functional teams on infrastructure that supports AI-driven innovation
  • A chance to contribute to the foundation of Autodesk's AI/MLecosystem, enabling safe, consistent, and transparent AI adoptionacross the organization

About the Canada Intern Program

The 2026 Canada Internship program runs for 16 weeks (Sept 1- Dec 18 2026). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk's Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.

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. Offers are based on the candidate's experience, educational level, and geographic location.

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

Autodesk logo

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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