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Machine Learning Software Engineer Intern Jobs in Waterloo, ON

Schema App

Software Engineering Manager

Guelph, ON · Remote

Software Engineering Manager About Schema App Schema App is a fast-growing, profitable SaaS company ... Champion quality practices: testing, observability, CI/CD, and blameless learning from incidents.

Schema App

Software Engineering Manager

Guelph, ON · Remote

Salary: $170-200k DOE Software Engineering Manager About Schema App Schema App is a fast-growing ... Champion quality practices: testing, observability, CI/CD, and blameless learning from incidents.

Acceldata

Field Engineering Co-Op

Kitchener, ON · On-site

CA$20 - CA$30/hr

WHY INTERN WITH US * Gain valuable experience at a fast-growing tech startup in Canada. * Work ... software solutions using advanced Java or Scala programming. * Commit to continuous learning and ...

Jatca Inc.

Assembly Controls Engineer

Cambridge, ON

Design and implement control algorithms and software programs for machine control and data ... Support Assembly Engineering planning and regional teams with model change implementation, Hoshin ...

Acceldata

Sales Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales ... WHY INTERN WITH US * Gain valuable experience at a fast-growing tech startup in Canada. * Work on ...

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Machine Learning Software Engineer Intern information

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.
Machine Learning Software Engineer Intern jobs near you
Infographic showing various Machine Learning Software Engineer Intern job openings in Waterloo, ON as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Senior Software Engineer, Core Experiences - Waterloo, Canada

Speechify

Waterloo, ON • On-site, Remote

Other

Posted 5 days ago

Job description

Mission

Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You'll Do

  • Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
  • Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
  • Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

  • Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
  • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
  • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
  • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
  • Preferred Tech Stack:
    • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
    • Prior experience with GCP is a plus

What We Offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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