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Added 8 mins ago
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
Full-time
Title - Senior Full Stack AI Engineer / Technical Engagement Manager
Added 8 mins ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 9 mins ago
Satellite Operations Engineer (GEO)
Telesat
Ottawa, ON
Full-time
The Satellite Operations Engineer (GEO) will support all engineering aspects related to ensuring effective in-orbit operations of all on-board subsystems on the assigned GEO satellite bus…
Added 23 mins ago
Software Engineer I
Beanfield
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We are seeking a motivated Software Engineer to join our technology team. This role focuses on designing, developing, and enhancing backend systems, APIs, and data processing tools using…
Added 23 mins ago
Senior Analytics Engineer – Data Modeling
SPECTRAFORCE
Toronto, ON · Greater Toronto Area, Canada
Contract
Senior Analytics Engineer – Data Modeling (Databricks), Capital Markets
Added 24 mins ago
Lead, Software Engineer (Implementations)
Broadridge
Toronto, ON
Full-time
Coordinate deployment of application components and data into test environments
Added 24 mins ago
Lead, Software Engineer
Broadridge
Toronto, ON
Full-time
We are looking for an experienced, adaptable Software Engineer to join the Securities Finance and Collateral Management (SFCM) engineering team at Broadridge. In this hands-on role, you…
Added 24 mins ago
Intern, AI Data Developer (Winter)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
As an AI Data Developer Intern on the Advanced Compliance Products (ACP) team at Autodesk, you will help build and scale the data pipelines, models, and platform integrations that power…
Added 24 mins ago
Senior Solutions Engineer, Enterprise Technology Services
Manulife
Toronto, ON
Full-time
Manulife is seeking a Senior Solutions Engineer to help design, scale, and modernize secure cloud platforms that support critical business systems across a global financial services…
Added 40 mins ago
Senior Front End Engineer
Spare
Remote, Canada
$151,000 to $208,000 CAD / year
Full-time · Remote
As a Senior Frontend Engineer, you’d turn the Design team’s direction into the product people actually use. You’d own the technical calls that keep our interfaces accessible, fast, and…
Added 40 mins ago
Software Engineer (Product - Backend)
Vasco
Remote, Canada
Full-time · Remote
As a Software Engineer at Vasco, you'll build the brain of our agents: the core systems that give them the context, metrics, and playbooks they need to do their job. You'll join a small…
Added 40 mins ago
Platform/DevOps Engineer
Vasco
Remote, Canada
Full-time · Remote
…all the time. We structure CRM, billing, calls, and support data into a semantic layer where every metric is sourced, every definition is locked, and every answer is deterministic, then…
Added 40 mins ago
Power Engineer - Second Class
''
Grand Falls, NB
From $45.32 CAD / hour
Full-time · Temporary
Position Title: Power Engineer - Second Class
Added 40 mins ago
Senior Software Developer in Test (Development Focused)
Royal Bank of Canada
Montreal, QC
Full-time
…execution, reduce manual effort, and implement intelligent test data generation with anomaly detection…
Added 54 mins ago
AI Engineer
Stripe
Toronto, ON
Full-time
…users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org - building production-quality tooling, supporting our…
Added 54 mins ago
JAMS Platform Engineer
J&M Group
Toronto, ON
Contract
Administer and engineer JAMS Scheduler, Agents, Executors, queues, resources, and job configurations, focusing on reliability, performance, capacity, resilience, and observability.
Added 54 mins ago
Principal Machine Learning Engineer, SecureAI
Okta
Toronto, ON
$192,000 to $264,000 CAD / year
Full-time
…under Okta Secures AI as a Principal Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing static, rule-based systems with dynamic AI security…
Added 54 mins ago
Sr. GCP/ Java Developer
NTT DATA North America
Toronto, ON
Other
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,…
Added 1 hour ago
08 - Lead Engineer, Systems/Applications Design
Celestica International LP
Newmarket, ON
…deliver high quality solutions in a Tool room environment. The Engineer, Systems/Applications designs, integrates, and produces robust tooling solutions and manages systems over their life…
Added 1 hour ago
University Grad Software Engineer (Toronto)
Pinterest
Toronto, ON
…our engineering teams. Working closely with product, design, data, and back‑end engineers, you’ll learn how large‑scale systems operate and play a meaningful role in building new…
Added 1 hour ago
University Grad Machine Learning Engineer 2027 (Toronto)
Pinterest
Toronto, ON
As a Machine Learning Engineer at Pinterest, you’ll develop and improve machine learning systems that power product experiences and discovery. You’ll partner with engineering, product and…
Added 1 hour ago
Senior Full Stack Developer
Capgemini
Mississauga, ON
7 years experience as a successful full stack software engineer, delivering software using agile development practices.
Added 1 hour ago
Staff Data Infrastructure Engineer
Faire
Toronto, ON · Kitchener, ON
We are hiring a Staff Engineer to own that plumbing. Concretely, this means the path data takes out of our production databases (CockroachDB and MySQL) and into a place where analysts and…
Added 2 hours ago
Analog Design, Sr Staff Engineer - 17402
Synopsys
Mississauga, ON
Support electrical characterization, analyze customer silicon data, and contribute to post-silicon improvements.
Added 2 hours ago
ATE Test Engineer, Sr Staff Engineer - 18756
Synopsys
Ottawa, ON
Your characterization data will inform design decisions for next-generation memory interface IP

University Grad Machine Learning Engineer 2027 (Toronto)

Toronto, ON, Canada

Pay: $135,000 - $162,000 CAD
Posting language: English
Posted: Oct 1, 2026

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Original 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.

As a Machine Learning Engineer at Pinterest, you’ll develop and improve machine learning systems that power product experiences and discovery. You’ll partner with engineering, product and design teams to build, evaluate and iterate on scalable solutions that help Pinners find relevant, inspiring content. In this role, you’ll grow your technical expertise while contributing to reliable, high-impact systems.

What you’ll do:

Conduct applied machine learning research to address product and platform challenges at Pinterest.
Collect, analyze and synthesize data to develop data-driven machine learning models.
Write maintainable, efficient code and contribute to testing and code-review practices.
Apply machine learning techniques, including natural language processing and graph-based approaches, to modeling and ranking challenges across discovery, ads and search.
Design, build and test recommendation and engagement-prediction models that improve push, email and in-app notification experiences.
Develop and iterate on large-scale applied machine learning systems, using evaluation results to improve model performance and reliability.
Scope, implement and deliver solutions for moderately complex ML problems, escalating risks and tradeoffs as needed.
Experience applying machine learning or AI concepts through research, coursework, projects or internships.
Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.

What we’re looking for:

Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
Cross-functional collaborator and strong communicator
Comfortable solving ambiguous problems and adapting to a dynamic environment
Experience in research and in solving analytical problems

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

In-Office Requirement:

This onsite internship will be based in our Toronto office requiring a few days in office. Our program will run in a full-time capacity during typical business hours between Monday-Friday.
This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of Toronto.

Relocation Statement:

This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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.

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

Canada based applicants only

$135,000 - $162,000 CAD

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, 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.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

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More about this job

Responsibilities

Develop and improve machine learning systems that power product experiences and discovery through applied research. Collaborate with engineering, product, and design teams to build, evaluate, and iterate on scalable recommendation and engagement-prediction models.

Requirements

Requires a Master's degree in Computer Science, Machine Learning, Statistics, or a related field. Candidates must have experience applying machine learning concepts and proficiency in systems languages like Java, C++, or Python.

Skills

Machine Learning
Natural Language Processing
Computer Vision
Ranking
Content Recommendations
Embedding
Information Retrieval
Hadoop
Spark
Java
C++
Python
Tensorflow
Pytorch
MLFlow
Big Data

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Natural Language Processing
Computer Vision
Ranking
Content Recommendations
Embedding
Information Retrieval
Hadoop
Spark
Java
C++
Python
Tensorflow
Pytorch
MLFlow
Big Data
Scalable Systems
Data-driven Modeling
Applied Research
Statistics
Computer Science
Information Sciences
Product Discovery
Engagement Prediction

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