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Added 1 min ago
Senior Workday Functional Specialist
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London, ON
Full-time
Added 1 min ago
GTM Engineer | CV Labs | CanadaVisa
CanadaVisa
Remote, Canada
$130,000 to $150,000 CAD / year
Full-time · Remote
Audit and improve the attribution model by working closely with our AI engineer. When a lawyer signs a retainer, anyone on the team should be able to trace it to the ad, article or referral…
Added 1 min ago
Senior Software Development Engineer, Amazon Private Brands
Amazon
Vancouver, BC
We are looking for an experienced Software Development Engineer III who's comfortable at all levels of the stack to design, build, and operate AI-powered systems at Amazon scale. Whether…
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Software Development Engineer, Amazon Private Brands
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Senior Software Engineer, iOS
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Toronto, ON
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Senior Cloud Azure Architect
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Contract
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Added 13 mins ago
Project Engineer
Tetra Tech
Tiverton, ON
Full-time
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Intermediate Mechanical Engineer - Hydro
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Intermediate / Senior Project Engineer - Hydro
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Senior Data Engineer, Asset Management
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business system analyst/data analyst
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Ability to analyse the construction of existing reports and reverse engineer table relationships etc
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Senior Mechanical Engineer
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…world. We combine consulting and engineering with advanced analytics and technology to solve the world’s most complex challenges. Our innovation hubs across the globe will enable you to…
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Intermediate Mechanical Engineer - Hydro
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Tetra Tech is adding an Intermediate Mechanical Engineer to our Hydropower and Water Resources team based in Canada.
Added 16 mins ago
Armstrong Graduate Development Program –Technical Sales & Application Engineering Stream
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…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our…
Added 28 mins ago
AI Developer – AI/ML, Python, LangChain, RAG, NLP LLM
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What is the opportunity? The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional…
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Tosca QE Sr Analyst
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As a Quality Engineer you will plan and conduct a wide range of software quality tests and analyzes to ensure all application products and services meet organizational standards aligned to…
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Customer Experience Engineer
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Business Data Analyst
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Ability to analyze the construction of existing reports and reverse engineer table relationships, etc
Added 44 mins ago
Staff Software Engineer – AI
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As a Staff Software Engineer – AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities. This…
Added 46 mins ago
Asset Engineer
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Added 46 mins ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
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Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted,…

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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