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Machine Learning Developer Intern Jobs in Ottawa, ON

Uottawa

TA (CUPE) - SED3115 A - Fall 2026

Ottawa, ON · On-site

CA$31.89 - CA$50.25/hr

... programming is required. All candidates selected for consideration must be available for an interview. Preference will be given to candidates who have completed a course in AI or Machine Learning ...

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

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.

Q-Block Computing

CNC Machinist (Programmer)

Ottawa, ON

$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.

Tomlinson

AI Specialist

Nepean, ON · On-site

Apply techniques such as prompt engineering, retrieval-augmented generation (RAG), and tool ... machine learning workloads * Develop and maintain the data models and pipelines that feed AI ...

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Machine Learning Developer Intern information

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?

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.

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 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

Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)

Lifted, an Upwork Company™

Ottawa, ON • On-site, Remote

Full-time

Posted 28 days ago

Job description

Company Description

An enterprise client is seeking experienced Structural Engineers to help train and evaluate next-generation AI systems. This opportunity is part of a large-scale initiative focused on improving how AI models solve complex structural engineering problems and generate technically accurate engineering solutions.

You will work alongside a community of subject matter experts contributing real-world engineering knowledge to help shape the future of Generative AI.

    Job Description

    This opportunity is ideal for experienced Structural Engineers who enjoy solving complex engineering problems and want to apply their expertise to cutting-edge AI technology.

    What You'll Do:

    • Design realistic AI training tasks based on structural engineering concepts and real-world design challenges.
    • Create clear engineering problem statements covering structural analysis, design, simulation, and code compliance.
    • Develop reference solutions and deterministic scoring criteria to evaluate AI-generated responses.
    • Build engineering tasks using OpenSees and other structural engineering methodologies.
    • Create evaluation scenarios involving topics such as:
      • Pushover analysis
      • Seismic design
      • Finite Element Analysis (FEA)
      • Reinforced concrete design
      • Steel connection detailing
      • Structural retrofit
    • Review AI-generated engineering solutions for technical accuracy, engineering judgment, and compliance with applicable design codes.
    • Provide structured feedback that helps improve AI performance in structural engineering.
    • Work independently in a fully remote, flexible environment.
    Qualifications

    Requirements:

    • Bachelor's degree in Civil Engineering, Structural Engineering, or a closely related field (Master's or PhD is a plus).
    • Professional experience in structural analysis and structural design.
    • Hands-on experience using OpenSees.
    • Strong understanding of structural design standards such as ACI 318, AISC 360, or Eurocode (EN 1992, EN 1993, EN 1998).
    • Experience with structural engineering concepts including nonlinear modeling, response spectrum analysis, pushover analysis, or performance-based design.
    • Ability to write clear, detailed, and technically accurate engineering documentation.
    • Strong analytical thinking and attention to detail.
    • Excellent written English communication skills.
    • Ability to work independently and manage your own schedule.

    Nice to Haves:

    • Master's degree or PhD in Structural Engineering or a related discipline.
    • Experience with advanced seismic engineering or structural retrofit projects.
    • Experience with finite element modeling and structural simulation.
    • Previous experience reviewing technical work, conducting research, or developing engineering assessments.
    • Interest or experience in AI, machine learning, or engineering model evaluation.

    Additional Information
    • Fully remote, project-based opportunity.
    • Flexible schedule — work whenever it fits your availability.
    • Compensation ranges from $80–110 USD per hour, depending on experience.
    • Expected workload is 10–39 hours per week, though project volume may fluctuate.
    • Payments are issued weekly for work completed during the previous week.
    • If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform.