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Machine Learning Engineer Intern Jobs in Hamilton, ON

... 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 ...

AI Engineer

Oakville, ON

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 ...

AI Engineer

Ottawa, ON

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 ...

AI Engineer

Ottawa, ON

CA$75K - CA$110K/yr

You will work at the intersection of machine learning and space systems, building AI capabilities ... Strong programming skills in Python * Experience with machine learning frameworks (PyTorch ...

DSP Algorithm Engineer

Ottawa, ON · Hybrid

CA$60 - CA$80/hr

DSP Algorithm Engineer This innovative team is at the forefront of enabling edge AI, including ... Implement machine learning, computer vision, or signal processing algorithms on embedded platforms.

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Machine Learning Engineer Intern information

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 job categories do people searching Machine Learning Engineer Intern jobs in Hamilton, ON look for? The top searched job categories for Machine Learning Engineer Intern jobs in Hamilton, ON are:
What cities near Hamilton, ON are hiring for Machine Learning Engineer Intern jobs? Cities near Hamilton, ON with the most Machine Learning Engineer Intern job openings:

Embedded Systems Developer Intern

Q-Block Computing

Ottawa, ON • On-site

CA$18 - CA$25/hr

Full-time, Internship

Medical, Dental, Vision, Life

Posted 21 days ago


Job description

Location: Ottawa, ON (on-site)

Employment type: Co-op / Internship

Duration: 48 months (flexible based on academic program requirements)\

Hours: 3540 hours per week

Salary range: $18 $25 CAD per hour, based on academic level and relevant experience

About Q-Block Computing: Q-Block Computing builds quantum systems that operate in the real world. The company develops quantum timing, quantum-secure communications, and quantum computing platforms engineered for the performance, reliability, and environmental resilience that mission-critical applications demand systems designed to be deployed, maintained, and trusted by operators who cannot afford ambiguity about whether the technology works.

The long-term vision is deeper than any single platform. Q-Block is pursuing a mission to decode Nature's foundational model to build instruments of sufficient precision and coherence that they become tools for understanding the physical universe at its most fundamental level. Commercialization and science reinforce each other by design.

About this role: The Embedded Systems Developer Intern will work alongside Q-Block's firmware and hardware engineers on the real-time control and data-acquisition electronics that sit at the heart of the company's quantum platforms. The role is hands-on: you will write firmware, bring up boards, design and test small circuits, and see your work exercised on real hardware.

The successful candidate is a motivated engineering student with solid embedded fundamentals, genuine curiosity about the hardwarefirmware boundary, and the discipline to document work carefully as they go. This is a co-op designed to build real depth, not to observe from the sidelines.

Responsibilities

  • Design and develop embedded firmware for microcontroller-based systems supporting Q-Block's quantum hardware programs.
  • Contribute to digital logic and FPGA work in support of signal processing, control, and data acquisition.
  • Assist with peripheral integration, sensor interfacing, and communication protocol implementation (SPI, I2C, UART, and related interfaces).
  • Support PCB bring-up, debug, and basic circuit characterization.
  • Collaborate with engineering and scientific teams to integrate embedded solutions with quantum hardware.
  • Participate in system testing, debugging, and performance optimization.
  • Document design decisions, code, and testing procedures following team practices.
  • Support laboratory setup and maintenance of embedded testing equipment.
  • Contribute to technical notes and progress presentations.
  • Contribute to a culture of craftsmanship, learning, and honest technical discussion.

Required qualifications

  • Currently enrolled in an Electrical Engineering, Computer Engineering, Electronics Engineering, Computer Science, or closely related undergraduate program.
  • Minimum completion of 2nd year coursework (60+ credit hours) at the start of the work term.
  • Academic or project experience with embedded electronics and microcontrollers (Arduino, STM32, PIC, Teensy, or comparable platforms).
  • Working proficiency in C and/or C++ for embedded systems.
  • Familiarity with at least one of the standard embedded communication protocols (SPI, I2C, UART).
  • Basic understanding of digital logic and circuit analysis.

Preferred qualifications

  • Exposure to FPGA development and HDL (VHDL or Verilog) through coursework or projects.
  • Familiarity with real-time operating systems (RTOS) or bare-metal real-time concepts.
  • Experience with development environments such as STM32CubeIDE, PlatformIO, Keil, IAR, or Xilinx/Intel FPGA tools.
  • Familiarity with version control (Git) and structured development practices.
  • Practical experience with laboratory instruments oscilloscopes, logic analyzers, multimeters, signal generators.
  • Exposure to PCB design tools (KiCad, Altium, or equivalent).
  • Previous co-op or internship experience in embedded systems, electronics, or scientific instrumentation.
  • Portfolio of embedded projects (GitHub repositories, project reports, or demonstrable builds).

Security and compliance requirements

  • Must be eligible to obtain and maintain Government of Canada security clearance, if required for assigned projects.
  • Must be eligible to comply with requirements of the Controlled Goods Program, if required for assigned projects.
  • Must be willing to participate in background screening, documentation, and compliance processes associated with security-sensitive work.
  • Due to the nature of Q-Block's research and government-facing work, preference may be given to Canadian citizens and permanent residents.

Skills and attributes

  • Strong analytical and problem-solving ability.
  • Attention to detail and a commitment to quality in technical work.
  • Clear written and verbal communication; able to present technical work and accept feedback constructively.
  • Ability to learn quickly and adapt in a fast-paced R&D environment.
  • Self-motivated, with good judgment about when to work independently and when to seek guidance.

What you will gain

  • Direct mentorship from senior embedded and systems engineers.
  • Hands-on experience at the boundary between firmware and hardware in a real engineering environment.
  • Exposure to the full arc from code to bench-verified hardware behaviour.
  • Professional development, networking within the quantum and deep-tech community, and potential consideration for future co-op terms or full-time employment.

Benefits

  • Competitive hourly compensation based on academic level and experience
  • Extended health care (including dental and vision)
  • Life insurance
  • Flexible scheduling where compatible with academic calendar requirements

Application requirements

  • Resume highlighting relevant coursework, projects, and technical skills.
  • Brief cover letter describing your interest in embedded systems and quantum technology.
  • Academic transcript (unofficial acceptable for initial application).
  • Portfolio of relevant projects (GitHub links, project reports, or technical demonstrations welcomed).

Equal Opportunity

Q-Block Computing is an equal opportunity employer committed to fostering inclusion and respect. Accommodations are available on request during the application and interview process. All interested students meeting the qualifications are encouraged to apply.