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Machine Learning Engineer Intern Jobs in British Columbia

This new intern position is expected to start in January 2027 . The internship is designed to ... learning and supports the transition from student to professional engineer. This role is well ...

We are seeking a Staff Computer Vision Engineer to provide technical guidance and contribute to the ... Design, develop, train, and integrate advanced computer vision and machine learning solutions.

AI Engineer

Vancouver, BC · On-site

CA$77K - CA$117K/yr

Your Opportunity As an experienced AI Engineer , you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this ...

ML Engineer

Vancouver, BC · On-site

CA$160K - CA$180K/yr

We're a focused engineering team working on the hard parts: detecting agents at runtime ... The problems span machine learning, distributed systems, applied AI, and security research. We're ...

Are you a technically strong and businessoriented Machine Learning / AI Engineer with a passion for building and scaling intelligent solutions? Our team is looking for a handson engineer with deep ...

Showing results 41-60

Machine Learning Engineer Intern information

See British Columbia salary details

$23K

$120.7K

$215.5K

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

As of Sep 3, 2026, the average yearly pay for machine learning engineer intern in British Columbia is $120,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $164,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

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 do machine learning engineer interns do?

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 skills and qualifications are needed to thrive as a machine learning engineer intern?

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 British Columbia?

The most popular types of Machine Learning Engineer jobs in British Columbia are:

What are popular job titles related to Machine Learning Engineer Intern jobs in British Columbia?

For Machine Learning Engineer Intern jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in British Columbia look for?

The top searched job categories for Machine Learning Engineer Intern jobs in British Columbia are:

What cities in British Columbia are hiring for Machine Learning Engineer Intern jobs?

Cities in British Columbia with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,739 per year, or $58 per hour.

Field Engineering Intern

AECOM

Burnaby, BC • On-site

Internship

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


AECOM rating

7.9

Company rating: 7.9 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

21st of 80 rated construction


Job description

Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

AECOM is seeking a Field Engineering Intern to join our construction services team on-site in North Vancouver, British Columbia.

This new intern position is expected to start in January 2027. The internship is designed to provide hands‑on, practical engineering experience that complements academic learning and supports the transition from student to professional engineer.

This role is well suited for second- or third-year chemical, environmental, civil, electrical, mechanical, or integrated engineering students who are ready to build hands‑on skills, and gain exposure to real‑world engineering consulting projects delivered in a multidisciplinary construction site environment.

Responsibilities

  • Under the guidance and mentorship of experienced engineers, the intern will be responsible for tasks including, but not limited to:
  • Update and maintain field review tracker.
  • Participate in site inspections.
  • Support project engineers with AI initiatives; automate processes and workflows using AI, Power BI, or other tools.
  • Coordinate with the engineering team regarding field review outcomes.
  • Coordinate with engineers from various disciplines (process, mechanical, civil, electrical, structural, instrumentation, etc.) to support integrated project delivery.
  • Participate in internal and external coordination meetings.
  • Assist with field investigations, site visits, and data collection activities to better understand existing facilities and operating conditions.
  • Follow quality control processes and contribute to meeting project schedules and deliverable requirements.
  • Progressively complete assigned work with increasing independence after initial guidance and review.

This position provides a broad, well‑rounded learning experience with increasing responsibility as skills and confidence develop.

What You’ll Gain

  • Hands‑on experience in a fast-paced construction site environment.
  • Exposure to project delivery through construction and the importance of stakeholder coordination.
  • Experience working within multidisciplinary engineering teams in a professional consulting environment.
  • Insight into how engineering designs interface with clients, contractors, and field conditions.
  • Mentorship from experienced engineers committed to your technical and professional development.
Qualifications

Minimum Requirements

  • Currently enrolled in an accredited university pursuing a Bachelor’s Degree in Chemical, Civil, Environmental, Electrical, Mechanical, or Integrated Engineering or a closely related engineering discipline, with the intent to return to school following the internship unless graduating.
  • Completion of at least two (2) years of undergraduate study at the time of application.

Preferred Qualifications

  • Eagerness to actively learn and build skills in a fast-paced environment.
  • Solid foundation in engineering fundamentals.
  • Familiarity with engineering and design tools such as AutoCAD, Revit, Bluebeam, or similar software.
  • Interest or exposure to model‑based or 3D design coordination workflows.
  • Proficiency with the Microsoft Office Suite, particularly Excel and Word.
  • Strong time‑management skills and the ability to prioritize tasks across multiple assignments.
  • Attention to detail and commitment to producing high‑quality engineering work.
  • Strong written, verbal, and interpersonal communication skills.
  • Interest in pursuing a long‑term career in engineering consulting and professional engineering licensure (P.Eng.)

Additional Information
  • Relocation is not available for this position.
  • Sponsorship for Canadian employment authorization is not available for this position.

At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.

About AECOM 

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. 

AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com. 

What makes AECOM a great place to work 

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity. 

As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. Artificial intelligence will be used to support the screening, assessment, and selection of applicants for this role. Final hiring decisions are made by the hiring team.


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