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Machine Learning Intern Remote Jobs in Toronto, ON

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... next-generation machine learning systems . * Diagnose and solve real issues in your domain to ...

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

Analytical mindset with an interest in learning how to synthesize information from multiple sources ... of office, remote and hybrid work preferences. Learn More About Autodesk Welcome to Autodesk!

Analytical mindset with an interest in learning how to synthesize information from multiple sources ... of office, remote and hybrid work preferences. Learn More About Autodesk Welcome to Autodesk!

... 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 ...

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.

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.

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... Diagnose and solve real issues in your domain to advance machine learning systems . * Work ...

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Machine Learning Intern Remote information

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

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries for ML positions can vary based on experience, location, and company, but they tend to be above average compared to many other entry-level roles in technology. Internships in ML may offer lower pay, but full-time positions often provide competitive compensation and benefits.
Lead Product Manager - Marketing Platform (Remote - Canada)

Lead Product Manager - Marketing Platform (Remote - Canada)

Yelp, Inc

Toronto, ON • Remote

CA$200K/yr

Full-time

Posted 5 days ago


Yelp rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

74th of 184 rated software companies


Job description

Yelp is looking for a collaborative and innovative Lead Product Manager to develop and drive the strategy for our Marketing Platform. Your work will enable our marketing teams to reach and engage communities everywhere, using technology, data, and creative solutions. You’ll play a central role connecting product, marketing, engineering, and data teams so that we deliver real value to Yelp’s consumers and Local Businesses.

You’ll have the opportunity to lead the creation and execution of a product roadmap that aligns directly with Yelp’s marketing strategy and company goals. Your expertise will help Yelp maximize the impact of industry-leading marketing automation platforms and develop custom solutions that streamline workflows across teams.

This role is ideal for a creative leader who thrives in cross-functional environments, loves solving complex problems, values diverse perspectives, and enjoys transforming innovative ideas into real-world impact.

This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


  • Partner with marketing leaders to build and lead a product roadmap that supports Yelp’s marketing strategy and company goals.
  • Use your experience with leading third-party marketing automation platforms (such as Salesforce Marketing Cloud or Braze) to maximize their value for our teams and customers.
  • Research and implement emerging technologies including machine learning and artificial intelligence, ensuring our marketing tools benefit from the latest advances.
  • Connect with specialist groups such as data analytics and machine learning/artificial intelligence teams to bring new solutions to market and support their successful adoption.
  • Stay informed about trends and best practices in marketing technology to keep Yelp at the forefront of innovation.
  • Listen closely to marketing team members, learn from a variety of experiences, and support others to succeed through empathy and clear communication.

  • Expertise in product management, with work in marketing technology or marketing operations.
  • You have hands-on experience with at least one marketing automation platform (e.g., Salesforce Marketing Cloud, Braze, or similar).
  • You are comfortable working together with engineers and can communicate technical requirements even if you don’t code yourself.
  • You’re curious about how machine learning and artificial intelligence can shape the future of marketing and enjoy working with teams exploring these areas.
  • You use data to guide decisions and value privacy, inclusivity, and transparency in data practices.
  • You have partnered with marketing teams or worked in a marketing-related role and appreciate different marketing approaches and perspectives.

The top end of the compensation range for this role exceeds $200,000 annually. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data and years of experience. The actual compensation offered may be influenced by a variety of factors, including the candidate’s experience and skill set.
You may also be offered restricted stock units and benefits.

  • This opportunity has the option to be fully remote in all locations across Canada.
  • This role is posted to fill an existing position.
  • You can find more information about Yelp's five star benefits here!

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

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