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Internship Machine Learning Startup Jobs in Ontario

Rockstar

Software Engineer

Toronto, ON · On-site

... machine learning concepts and quickly ramp up - Startup mentality with a passion for rapid prototyping, testing, and iterating on feedback - Fintech or accounting software experience is a plus Why ...

Vosyn

Finance - Master-Level Internship

Etobicoke, ON · On-site +1

$32/hr

In this engagement/applied learning internship you'll gain unparalleled experience in a high-growth ... startup environment. DEI and Workplace Safety: At Vosyn Inc., we are committed to fostering a ...

Vosyn

Accounting - Master-Level Internship

Etobicoke, ON · On-site +1

$32/hr

In this engagement/applied learning internship, you'll gain unparalleled experience in a high ... startup environment. DEI and Workplace Safety: At Vosyn Inc., we are committed to fostering a ...

Evolver

We are an innovative AI startup focused on transforming professional services through cutting-edge ... machine learning or Generative AI applications. 5+ years research experience related to next ...

HeyGen

Research Engineer

Toronto, ON

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at ... experience in machine learning and computer vision, demonstrating practical application of ...

CIBC US

AI Scientist

Toronto, ON · Hybrid

... internships, research projects, thesis work, or side projects. You can demonstrate foundational knowledge in Machine Learning, Statistics, Artificial Intelligence, and Generative AI concepts. You ...

Sage Recruiting

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

... an early-stage startup building automation and robotics for high-precision scientific ... Machine learning or signal analysis * Predictive diagnostics * Data analysis and sensor readout ...

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All JobsMachine Learning Startup JobsInternship Machine Learning Startup JobsInternship Machine Learning Startup Jobs in Ontario

Internship Machine Learning Startup information

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

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

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What job categories do people searching Internship Machine Learning Startup jobs in Ontario look for? The top searched job categories for Internship Machine Learning Startup jobs in Ontario are:
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Internship Machine Learning Startup jobs near you

AI Compiler Software Intern (PEY)

Tenstorrent University Jobs

Toronto, ON

Internship

Re-posted 8 hours 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