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Machine Learning Intern Jobs in Surrey, BC (NOW HIRING)

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Gameplay Systems Software Engineer

Burnaby, BC · Hybrid

CA$71K - CA$105K/yr

Familiarity with procedural generation or machine-learning-assisted approaches for agent behavior ... or intern roles will not be eligible for many of these payments or benefits. Details of ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Surrey, BC

Machine Learning Intern information

See Surrey, BC salary details

$9

$47

$89

How much do machine learning intern jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for machine learning intern in Surrey, BC is $47.18, according to ZipRecruiter salary data. Most workers in this role earn between $38.50 and $52.70 per hour, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Surrey, BC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $98,144 per year, or $47.2 per hour.

Summer 2027 Long Term Hardware Design Engineering Intern/Co-Op

Advanced Micro Devices, Inc

Vancouver, BC

Full-time, Temporary, Internship

Posted 6 days ago

Key responsibilities

  • Collaborate with Design Engineers on the physical design verification and physical implementation for ASICs.

  • Participate in RTL design, synthesis, and physical design tasks such as floor planning, power and clock distribution, and timing analysis.

  • Assist in testing and verification activities, including building test libraries and models using advanced verification languages.

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

As an AMD intern, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

 

JOB DETAILS:

Location: Vancouver, British Columbia, Canada

Onsite/Hybrid: This role requires the student to work full time 37.5 hrs a week, either in a hybrid or onsite work structure throughout the duration of the co-op/intern term.

Duration:

  • 12 Months: May 03, 2027 to April 21, 2028
  • 16 Months: May 03, 2027 to August 18, 2028

WHAT YOU WILL BE DOING:

We are seeking a highly motivated Hardware Design engineering intern/co-op to join our team and work towards design, built, and delivery of AMD’s high-end Machine Intelligence products. In this role you will participate in one or more of (but not limited to) the below assignments –

  • Collaborate with Design Engineers on the physical design verification and physical implementation for some of our ASIC.
  • Work on Memory interface simulation work eg. GDDR7, HBM, UCIE.
  • Work on Discreate and Embedded hardware products and chip to chip interconnect.
  • You will actively participate in RTL design in Verilog.
  • Synthesis with timing driven placement and design for power (DFP).
  • Floor planning, Power distribution, Clock distribution, Block/Chip Place & Route, EM/IR analysis, Timing closure, Static Timing Analysis.
  • Some other tasks that we may assign you will include analysis of logical equivalent check, RTL clocking analysis, static power analysis, and design for test (DFT).
  • We will also train you to build test libraries and models by using advanced verification languages such as System Verilog, UVM and C++.

 

WHO WE ARE LOOKING FOR:

  • Currently enrolled in a Canada based University into a Bachelor's degree program majoring in Electrical engineering or Computer engineering or a related field.
  • If you have experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
    • Strong semiconductor device physics knowledge.
    • Digital /Logic circuits and VLSI
    • Verilog or VHDL hardware description languages
    • Exposure to UVM methodologies
    • Scripting languages (e.g. Python, Perl, TCL, Ruby), Shell / UNIX scripting, C/C++, MATLAB. 
    • Interest or experience in Machine Learning. 
    • ASIC design
    • Knowledge of Ruby on Rails and MySQL
    • Linux/Unix environment
    • Physical design (PD) process
    • Chip level design/integration activities and DFT


Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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