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Machine Learning Engineer Intern Jobs in Waterloo, ON

Acceldata

Software Engineering Co-op

Kitchener, ON

Why Intern With Us: At Acceldata, you won't just be writing code; you'll be shaping the foundation ... Commit to continuous learning and professional development, adapting to new tools, languages, and ...

ATS Automation

Intermediate Systems Designer

Cambridge, ON · On-site

CA$36 - CA$50/hr

You'll be part of a dynamic engineering team - empowered to solve problems in the office and on the ... Subject Matter Expertise Responsible for learning customer processes; becoming the local expert in ...

ATS Automation

Senior Vision Designer

Cambridge, ON · On-site

CA$600/day

Half-Day Fridays * Working on challenging engineering projects. * Continuous learning and career ... Define machine vision performance requirements in inspection, assembly, and functional process ...

Linamar

Automation Technician

Guelph, ON

... and machinery in conjunction with Engineering and Maintenance. Responsibility * Work with ... Continuous learning to maintain a current knowledge of policies, procedures, and industry standards.

Linamar

Automation Technician

Guelph, ON

... and machinery in conjunction with Engineering and Maintenance. Responsibility * Work with ... Continuous learning to maintain a current knowledge of policies, procedures, and industry standards.

ATS Automation

Systems Designer, Nuclear

Cambridge, ON · On-site

CA$32.69 - CA$44.95/hr

... Engineer - Nuclear you are responsible for learning technical aspects of a project and overseeing ... machines/tools/systems. * Prepare component and system level analysis, calculations, or studies ...

New

ATS Automation

Junior Systems Designer

Cambridge, ON · On-site

CA$30 - CA$42/hr

... learning technical aspects of a project and overseeing engineering requirements specific to the ... Acceptance Test Plans) Evaluate and document overall machine system performance (MOEE, Cycle time ...

Teledyne

Analog Mixed -Signal IC Designer

Waterloo, ON

CA$93K - CA$124K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image ... Bachelor's degree in Electrical Engineering (required). * Experience with CMOS image sensors ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Waterloo, ON

Machine Learning Engineer Intern information

See Waterloo, ON salary details

$21.4K

$112.6K

$200.9K

How much do machine learning engineer intern jobs pay per year?

As of Jul 5, 2026, the average yearly pay for machine learning engineer intern in Waterloo, ON is $112,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,002.00 and $152,907.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Waterloo, ON? The most popular types of Machine Learning Engineer jobs in Waterloo, ON are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Waterloo, ON? For Machine Learning Engineer Intern jobs in Waterloo, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Waterloo, ON look for? The top searched job categories for Machine Learning Engineer Intern jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Machine Learning Engineer Intern jobs? Cities near Waterloo, ON with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Waterloo, ON as of June 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Temporary. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $112,573 per year, or $54.1 per hour.
Software Engineering Co-op

Software Engineering Co-op

Acceldata

Kitchener, ON

Other

Posted 25 days ago

Job description

ABOUT US
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.
 
Enterprise Data Observability is at the intersection of today's hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.
 
Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company whose investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

Summary

As a Software Engineering Co-op at Acceldata Inc in Canada, you will have the opportunity to work on exciting big data projects and create a Data platform from scratch, learn from experienced professionals, and make a real impact by showcasing your effort directly to the enterprise.  In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure. We seek passionate, self-driven individuals eager to make a tangible impact, learn continuously, and deliver solutions that enable organizations to unlock the full potential of the open-source community.

This is a 4 month assignment, 40 hours per week, with required on-site presence at 151 Charles Street West, inside the Communitech Innovation Center.

Why Intern With Us:

At Acceldata, you won't just be writing code; you'll be shaping the foundation of modern data platforms used by some of the world's largest enterprises. You'll work alongside seasoned engineers and open-source contributors who are passionate about solving complex distributed systems challenges at scale. Every project you take on will directly impact how a data platform is managed, observed, and optimized across hybrid and cloud ecosystems.

This is your chance to build technology that truly matters, software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community at large. We move fast, value creativity, and reward innovation. If you're looking for a place where your ideas can become real systems and your work can be seen, used, and respected across the data ecosystem, Acceldata is where you belong.

RESPONSIBILITIES

  • Collaborate with the engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.

  • Participate actively in the entire software development lifecycle, including requirement analysis, design, implementation, testing, and maintenance.

  • Leverage past experience with at least one Apache project (e.g., Apache Hadoop, Apache Spark, Apache Kafka) to contribute effectively to the project.

  • Utilize knowledge of open-source community best practices and development methodologies.

  • Identify and troubleshoot issues, ensuring the delivery of high-quality software solutions.

  • Participate in code reviews to maintain code quality and share knowledge with team members.

  • Commit to continuous learning and professional development, adapting to new tools, languages, and platforms as required.

  • Stay updated with the latest advancements in open-source projects and contribute to the community as needed.

REQUIREMENTS

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field in the University of Waterloo.

  • Strong programming skills in languages such as Java or Scala, and Python.

  • Developed and prepared project build models associated with Maven, Gradle, or SBT.

  • Hands-on experience in Github & Nexus management and its use cases.

  • Solid understanding of data structures, algorithms, and software development principles.

  • Experience with distributed computing, big data technologies, and cloud platforms is a plus.

  • Strong understanding and hands-on experience with Kubernetes, including deploying, managing, and scaling applications.

  • Familiarity with Kubernetes concepts such as Pods, Services, Deployments, StatefulSets, ConfigMaps, and Secrets.

  • Knowledge of data structures, algorithms, and software development principles.

  • Excellent problem-solving and analytical abilities.

  • Understanding of the big data ecosystem, including data ingestion, processing, and storage technologies.

  • Strong communication skills, both verbal and written, to effectively collaborate with cross-functional teams.

  • Proven ability to work well in a team environment, contributing to a collaborative culture.

  • Enthusiasm to learn and adapt to new technologies.

Application Documents Required
  • Proof of Co-Op enrollment
  • Co-Op Work History, if applicable
  • Resume
  • Grade Report
Compensation and Benefits Information
  • Apple Mac Equipment
  • Catered lunch once a week in the office
  • Gym with onsite showers
  • Games Rooms
  • Designated bicycle room 
  • Drinks and snacks
 
 
 
$20 - $30 an hour
The hourly rate offered will vary within the range based on the candidate's education and years of relevant experience. Candidates with more advanced degrees and/or extensive experience may be considered for compensation at the higher end of the range.
Acceldata is an equal-opportunity employer
 
At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.
 
#LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an 'out-of-the-box' mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be! 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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