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Machine Learning Developer Intern Jobs in Ottawa, ON

Trellis

Senior Full Stack Developer

Kanata, ON

We're looking for a passionate Senior Full-Stack Developer who wants to make a difference in a fast ... Machine Learning and Algorithms Compensation * Competitive Salary * Stock options * Comprehensive ...

Larus Technologies

Software Engineer

Ottawa, ON · On-site

Our Software Engineering team is currently developing end-to-end real-time solutions for the public ... Machine Learning (ML), Big Data Analytics, and Decision Support Systems (DSS). Larus has three core ...

Providius

Platform Engineer

Hamilton, ON · On-site

Contribute to improving development workflows, tooling, and overall engineering practices ... Experience working with machine learning or AI-driven systems, including integrating or ...

Uottawa

APTPUO-Fall 2026-MIA5130 (online)

Ottawa, ON

CA$239.47/hr

Faculte de genie / Faculty of Engineering Academic Unit: Ecole de conception et d'innovation ... in AI, machine learning, or data-driven decision systems. Experience working with optimization ...

Ciena

Embedded Software Engineer - Intern

Ottawa, ON

CA$25 - CA$32/hr

... state machines for interfacing with external applications: * Linux and VxWorks kernels and base ... High-level programming and scripting languages such as Java, Python, Perl, Tcl, bash * YANG ...

Spiria

Lead Software Developer

Ottawa, ON · On-site

CA$100/hr

... learning curve when learning new languages. In addition to actively participating in the ... Own the endtoend software architecture for machine HMI stacks, including Angularbased touchscreen ...

Q-Block Computing

CNC Machinist (Programmer)

Ottawa, ON · On-site

$60K - $100K/yr

Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

Q-Block Computing

CNC Machinist (Programmer)

Ottawa, ON · On-site

CA$60K - CA$100K/yr

Machine precision parts to tight tolerances across a range of materials, including aluminum alloys ... Contribute to a culture of continuous learning, craftsmanship, and honest technical discussion.

Nokia

Service Router QA Co-op/Intern

Kanata, ON · On-site

Receive quality one-on-one engineering mentorship while learning and using various network protocols that are being tested in your team. * Conduct end-to-end testing of high-capacity routers (7750 ...

Ciena

Software Platform Designer Intern

Ottawa, ON · On-site

CA$25 - CA$32/hr

Collaborate with developers and testers through scrum meetings, code reviews, and integration ... Demonstrated interest in software development and continuous learning Nice to haves: * Application ...

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All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Ottawa, ON

Machine Learning Developer Intern information

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

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

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Ottawa, ON are hiring for Machine Learning Developer Intern jobs? Cities near Ottawa, ON with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you
Senior Full Stack Developer

Senior Full Stack Developer

Trellis

Kanata, ON

Full-time

Re-posted 22 days ago

Job description

We're looking for a passionate Senior Full-Stack Developer who wants to make a difference in a fast-growing startup. We are a B2B SaaS company that provides an AI-powered software platform for eCommerce merchants to generate more demand for their products. We use the latest advancements in artificial intelligence and automation to drive profitable sales for our clients. Our software platform currently supports marketplaces like Amazon and Google Shopping. With over 8M sellers globally, this is an exciting opportunity to be a big part of building a powerhouse in the retail demand generation space.

At Trellis, you'll have the opportunity to work in a fast-growing company and play an impactful role. As part of our team, you'll be helping great companies sell their products on Amazon, Google, and all over the internet. This is a high-growth and impactful role that will give you tons of opportunities to drive decisions for projects from inception through production.


What You'll Get To Do

  • Lead impactful features and projects from conception to completion, working with stakeholders to identify project risks and recommend mitigating solutions.
  • Collaborate with our product team to build powerful and easy-to-use features and modules.
  • Maintaining the system in general, on-call bug-fixing for mission-critical issues
  • Own new features, craft technical specs
  • Work with lots and lots of data
  • Write lots of code in Python and React/JS


Our Tech Stack

  • Web: HTML, Javascript, CSS, React
  • Backend: Python, Django, Postgres, Redis.
  • Distributed Computing: Task Queues, Celery, RabbitMQ
  • Infrastructure: AWS EC2, Kubernetes, Docker, Terraform


What You Need

  • Have 5 years of experience in a frontend, backend, or full stack role.
  • Programming experience in Python, JavaScript, C#, Java, or another object-oriented language.
  • An eagerness to learn new things and improve upon existing skills, abilities, and practices.
  • Experience with databases, SQL or NoSQL.
  • Experience with APIs, REST or GraphQL
  • Knowledge in an Agile software development environment,
  • Experience with version control systems (Git, Subversion, etc..).
  • Have a real passion for clean code and finding elegant solutions to problems.
  • Eager to expand your knowledge and abilities in Python and cloud-based technologies.


Nice to Haves

  • Experience building scalable workflows using task queues.
  • Experience integrating with 3rd parties APIs
  • Security and Authentication
  • Machine Learning and Algorithms


Compensation

  • Competitive Salary
  • Stock options
  • Comprehensive health benefits package.


The Trellis Team

At Trellis, we are passionate about delivering results and a positive user experience to our client brands. With that narrow goal, our driven team works to build out an ambitious product roadmap while seeking out and responding promptly to requests from our current clientele.

We are witnessing a generational shift in consumer behavior in e-commerce. By joining the Trellis team, you too can participate directly in enabling the market transition. If you have an analytical mindset with a willingness to learn and a passion for high-paced forward progress, then we want to hear from you!

Trellis is committed to providing equal opportunity to all applicants and employees. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, colour, religion or belief, national or ethnic origin, gender, age, disability, sexual orientation, gender identity and/or expression, marital or civil status, political affiliation, family or parental status, or any other status protected by the laws or regulations in the jurisdictions in which we operate.

These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, demotions, transfers, compensation changes, training, career development programs, layoffs, and terminations.


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