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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 ... Diagnose and solve real issues in machine learning systems . * Contribute expertise to cutting-edge ...

P-225 While candidates in the listed locations are encouraged for this role, we are open to remote ... Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) * Data Applications (Ex: Logs ...

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

Network System Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

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 ...

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 ...

Network Support Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

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 ...

Network Engineer

Toronto, ON · Remote

CA$50 - CA$70/hr

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 ...

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 ...

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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.
What are popular job titles related to Machine Learning Intern Remote jobs in Toronto, ON? For Machine Learning Intern Remote jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern Remote jobs in Toronto, ON look for? The top searched job categories for Machine Learning Intern Remote jobs in Toronto, ON are:
Infographic showing various Machine Learning Intern Remote job openings in Toronto, ON as of June 2026, with employment types broken down into 37% Full Time, 22% Part Time, 20% Temporary, and 21% Contract. Highlights an 100% Remote job distribution.

Senior Technical SR&ED Writer (Software Focus) (Remote)

RightBlue Labs Inc

Toronto, ON • Remote

CA$110K - CA$130K/yr

Full-time

Posted 7 days ago


Job description

Job Opening: Senior Technical SR&ED Writer (Software Focus)

Location: Remote

Company: Zero To One Strategic

Reporting to: SR&ED Program Director

Type: Full-time, Remote

Start Date: Immediate


About Zero To One Strategic

Zero To One Strategic is a fast-growing consultancy that helps innovative Canadian companies unlock non-dilutive funding through SR&ED and other government programs. Our team includes former CRA auditors, software engineers, and grant strategists who are passionate about driving results for tech-focused founders and CFOs.

We are not your average SR&ED firm. We embed deeply with clients to craft audit-ready, technically rigorous claims, and we're looking to expand our team with a sharp, experienced technical writer who speaks the language of software and science.


Role Overview

We are seeking a Technical SR&ED Writer with deep software knowledge, exceptional communication skills, and hands-on experience preparing successful SR&ED claims. You will lead the development of technical narratives that capture the complexity of R&D efforts in areas like machine learning, cloud infrastructure, embedded systems, and enterprise software development.

The ideal candidate holds at least a Bachelor's in Computer Science or a closely related field, and has direct SR&ED writing experience. You must be ready to hit the ground running.


Key Responsibilities
  • Own the Technical Narrative: Write detailed, CRA-compliant technical reports that clearly demonstrate technological uncertainty, systematic investigation, and advancement.
  • Lead Developer Interviews: Conduct deep-dive interviews with CTOs, engineers, and technical teams to extract core R&D elements.
  • Collaborate Cross-Functionally: Partner with project managers and financial staff to align technical stories with eligible expenditures.
  • Synthesize Complex Info: Translate advanced software concepts into plain language while preserving technical depth.
  • Project Manager: Balance multiple claim deadlines and client relationships in a fast-paced, remote-first environment.
  • Stay Compliant: Keep current on CRA SR&ED guidelines and ensure deliverables reflect the latest standards and best practices.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or related technical discipline.
  • 2+ years of experience preparing SR&ED claims, either in-house or with a consultancy.
  • Excellent writing, editing, and research skills.
  • Strong grasp of software development lifecycles, system architecture, algorithms, and technical experimentation.
  • Ability to manage deadlines and navigate ambiguity with precision and professionalism.
Nice to Have
  • Experience working in or with startups or high-growth tech companies.
  • Familiarity with Agile development, cloud platforms (e.g., AWS, Azure), AI/ML models, DevOps pipelines.
  • Experience with legal, grant, or technical compliance writing.
  • Project management background or formal certifications.
Why Join Zero To One Strategic
  • Immediate impact and ownership of client-facing technical work.
  • Remote-first flexibility with a collaborative, high-performance culture.
  • Opportunity to work alongside a talented team of engineers, advisors, and innovators.
  • Competitive compensation ($110k$130k salary that includes bonuses and upside) and room to grow into a senior advisory or technical lead role.