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Machine Learning Engineer New Grad Jobs in Toronto, ON

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Day-to-day as a Machine Learning Engineer: * Join a world-class team of AI developers with an ... in your new role. Interview Process We'll reach out to candidates of interest to schedule an ...

We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring ... Experience fine-tuning LLMs for specific learning tasks Experience deploying full-stack features to ...

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how ... Act as the bridge between research and production - ensuring new techniques get integrated into ...

Software Developer, New Grad

Toronto, ON · On-site

CA$90K - CA$92K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is ... As a Software Developer, New Grad on our Integrations team, you will design and develop the tools ...

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

... new industry standards. About the Role: We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our enterprise team. In this pivotal role, you will be at the ...

Showing results 21-40

Machine Learning Engineer New Grad information

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Toronto, ON?

For Machine Learning Engineer New Grad jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in Toronto, ON look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Machine Learning Engineer New Grad jobs?

Cities near Toronto, ON with the most Machine Learning Engineer New Grad job openings:

Infographic showing various Machine Learning Engineer New Grad job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer II, Core Engineering

Pinterest

Toronto, ON • Remote

Full-time

Re-posted 25 days ago


Job description

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems 

What we're looking for:

  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • M.S. or PhD in Machine Learning or related areas
  • Expertise in scalable realtime systems that process stream data
  • Passion for applied ML and the Pinterest product

Nice To Have:

  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement: 

  •  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

#LI-REMOTE