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Internship Machine Learning Government Jobs in Toronto, ON

THOMSON REUTERS

Senior Research Engineer

Toronto, ON · Hybrid

... government professionals work across the globe.As amember of Thomson Reuters Labs, you will ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

City of Toronto

DATA SPECIALIST

Toronto, ON · On-site

CA$5.1K/mo

... or machine learning. * Fosters and maintains effective working relationships and networks with divisional staff, other government agencies, and other data science professionals. * Monitors and ...

ThoughtStorm

Data Scientist

Toronto, ON · On-site

Develop robust statistical models and machine learning algorithms to model business scenarios and ... The Government of Ontario is embarking on a large Data & AI transformation initiative. Core to the ...

YuJa Inc.

AI Engineer

Toronto, ON · On-site

CA$90K - CA$100K/yr

Serving clients in higher education, K-12, government, and healthcare, YuJa enables organizations ... About the Role * Design, develop, and deploy machine learning and deep learning models

YuJa

AI Engineer

Toronto, ON · On-site

CA$90K - CA$100K/yr

Serving clients in higher education, K-12, government, and healthcare, YuJa enables organizations ... About the Role * Design, develop, and deploy machine learning and deep learning models

Sanofi EU

Lead Data Scientist

Mississauga, ON · On-site +1

CA$108K - CA$157K/yr

Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Sanofi EU

Lead Data Scientist

Maple, ON · On-site +1

CA$108K - CA$157K/yr

Lead the design, development, deployment, and scaling of enterprise AI, Machine Learning ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

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All JobsMachine Learning Government JobsInternship Machine Learning Government JobsInternship Machine Learning Government Jobs in Toronto, ON

Internship Machine Learning Government information

What is an internship in machine learning in the government sector?

An Internship in Machine Learning within the government sector involves working with public agencies or departments to apply machine learning techniques to real-world problems. Interns may assist with analyzing public datasets, developing predictive models, or supporting decision-making processes using AI tools. These internships provide practical experience in deploying technology for public benefit, often focusing on areas like public health, security, or resource management. Interns gain exposure to both technical skills and the unique challenges of working within governmental frameworks.

What types of projects do interns typically work on in a government machine learning internship?

In a government machine learning internship, interns often contribute to projects involving data analysis, predictive modeling, or automation of processes using machine learning algorithms. These projects may focus on areas such as public health, security, or resource management, depending on the agency's mission. Interns usually work within a multidisciplinary team, collaborating with data scientists, engineers, and policy experts, and may be tasked with tasks like cleaning datasets, developing prototypes, or assisting in report generation. This hands-on experience provides insight into how machine learning can address real-world challenges in the public sector.

What are the key skills and qualifications needed to thrive in a machine learning internship in government?

To thrive as a Machine Learning Intern in a government setting, you typically need a strong background in statistics, programming (such as Python or R), and foundational knowledge of machine learning algorithms, often supported by ongoing or completed coursework in computer science or a related field. Familiarity with tools like TensorFlow, Scikit-learn, and data management systems, as well as experience with data security protocols, is commonly required. Strong analytical thinking, attention to detail, and clear communication skills help interns interpret complex data and present findings to non-technical stakeholders. These skills ensure that machine learning solutions are robust, ethical, and aligned with governmental objectives and regulations.

What is the difference between Internship Machine Learning Government vs Internship Data Analysis Government?

AspectInternship Machine Learning GovernmentInternship Data Analysis Government
Required CredentialsRelevant coursework, basic programming skills, familiarity with ML frameworksStatistics knowledge, data handling skills, basic programming
Work EnvironmentResearch labs, government agencies, collaborative teamsData departments, policy units, government offices
Employer & Industry UsageFederal/state agencies, research institutionsGovernment departments, public sector organizations
Common Search & Comparison IntentUnderstanding ML internship roles in governmentExploring data analysis internship opportunities in government

Internship Machine Learning Government focuses on applying machine learning techniques within government projects, often requiring programming and ML knowledge. Internship Data Analysis Government emphasizes analyzing government data sets to support policy and decision-making, with a focus on statistics and data handling. Both internships are valuable for careers in public sector data roles but differ in technical focus and skill requirements.

Internship Machine Learning Government jobs near you
Infographic showing various Internship Machine Learning Government job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution.

AI Compiler Software Intern (PEY)

Tenstorrent University Jobs

Toronto, ON

Internship

Re-posted 28 days ago

Job description

At Tenstorrent, interns don't just write code-they help shape the future of AI compute. As a Software Compiler Intern, you'll work with a dedicated mentor and collaborate across software, firmware, hardware, and systems teams. This is a rare chance to work on performance-critical code and gain experience across the full AI stack.

This role is on-site based in Toronto, Canada.

Who You Are

  • Pursuing (or recently completed) a degree in EE, CE, CS, or a related field.
  • Solid foundation in C/C++ and algorithms; Python skills are a bonus.
  • Curious about compilers, ML, parallel systems, or processor architecture.
  • Problem-solver who enjoys working across abstraction layers

What We Need

  • Contribute to the development of Tenstorrent's ML graph compiler.
  • Benchmark and optimize key ML workloads across hardware/software.
  • Build performance analysis tools to inform compiler and runtime design.
  • Collaborate with ML and systems teams to co-design across the stack.

What You Will Learn

  • Compiler design for machine learning models and workloads.
  • End-to-end co-design of software and cutting-edge AI hardware.
  • Performance tuning and analysis in a high-performance runtime.
  • Real-world ML integration with frameworks and low-level systems.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Apply