1

New Grad Machine Learning Jobs in Toronto, ON (NOW HIRING)

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 ...

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing ... Learn new things, challenge yourself, and hone your craft as an ML and infrastructure expert in a ...

Showing results 21-40

New Grad Machine Learning information

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

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

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

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

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

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

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

Infographic showing various New Grad Machine Learning job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer II, Core Engineering

Toronto, ON • On-site

Other

Re-posted 25 days ago


Key responsibilities

  • Build cutting edge machine learning and deep learning technology to personalize Pinterest.

  • Partner with teams across Pinterest to experiment with and improve ML models for various product surfaces.

  • Use data-driven methods and leverage data properties to enhance candidate retrieval.


Job description

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn’t just a feature, it’s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

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 candidate 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 Ph.D. in Machine Learning or related areas
  • Expertise in scalable real‑time 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
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
  • This role will need to be in the office for in‑person collaboration 1‑2 times per quarter and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W)

Canada based applicants only

$170,840—$220,840 CAD

Information regarding the culture at Pinterest and benefits available for this position can be found here.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition or genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition or genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

#J-18808-Ljbffr