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Remote Machine Learning Engineer Jobs in Ontario

YuJa

AI Engineer

Toronto, ON · On-site +1

CA$90K - CA$100K/yr

  • Medical

  • Dental

  • Vision

Design, develop, and deploy machine learning and deep learning models * Collaborate with product, design, and engineering to integrate AI models into customer-facing applications * Conduct ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

  • Medical

  • Dental

  • Vision

  • PTO

You are familiar with the internals of modern machine learning (diffusion models, vision ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

KPMG

Director, AI Engineering

Toronto, ON · On-site +1

Professional AI Architect, Machine Learning Engineer) or equivalent are a plus * Advanced degree from an accredited college or university in computer science, data science, engineering, or related ...

Waymo

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing ... Partner with engineering and research teams across Waymo to share recipes, techniques, and post ...

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$110 - CA$145/hr

Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs . * Review complex machine learning research for alignment ...

Dialpad

Applied Scientist

Kitchener, ON · On-site +1

Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning ... Collaborate with cross-functional teams, including engineering, product, and design, to effectively ...

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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 are the key skills and qualifications needed to thrive as a remote machine learning engineer?

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?

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.

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
Infographic showing various Remote Machine Learning Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Science Expert - Fully Remote | Upto $150/hr

Mercor

Toronto, ON • Remote

CA$150/hr

Full-time

Posted 5 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Scientist Talent Network
Type: Contract
Compensation: $100–$150/hour
Location: Remote

Role Responsibilities

  • Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, and A/B test write-ups.
  • Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.
  • Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.
  • Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
  • Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • 1+ years of professional data science experience.
  • Experience at a leading technology, research, or quantitative firm.
  • Strong command of Python, SQL, statistical modeling, machine learning, and experimentation.
  • Exceptional written communication skills.
  • Detail-oriented and consistent approach to evaluating complex work.
  • Comfort receiving feedback and calibrating judgment against established standards.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.