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Added 1 hour ago
Designer, Development (Service)
Husky Technologies
Bolton, ON
Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 1 hour ago
Modelling & Simulation Engineer - NETE
Weir
Dartmouth, NS
Full-time
Conduct Modelling and Simulation (M&S), Independent Verification & Validation (IV&V) and Integration activities for the River Class Destroyer (RCD) project. Weir Marine Engineering supports…
Added 1 hour ago
Senior FDIR-FSW Systems Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Full-time · Remote
We are seeking a Senior FDIR-FSW Systems Engineer to support the design, analysis, and verification of Fault Detection, Isolation, and Recovery (FDIR) systems for advanced LEO and MEO…
Added 1 hour ago
Telecommunications Payload System Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Full-time · Remote
We are seeking a Telecommunications Payload System Engineer to support the design, integration, and testing of advanced satellite communications payloads. In this role, you will work…
Added 1 hour ago
Payload System Software Integration Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Full-time · Remote
We are seeking a Payload System Software Integration Engineer to lead the integration of software for advanced digital telecommunications payloads. In this role, you will coordinate…
Added 1 hour ago
Model-Based Systems Engineer (MBSE) – Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Contract · Remote
We are seeking an experienced Model-Based Systems Engineer (MBSE) to support the development of advanced satellite systems through modern digital engineering practices. In this role, you…
Added 1 hour ago
Payload System Verification & Validation Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Full-time · Remote
We are seeking a Payload System Verification & Validation Engineer to support the verification and validation of advanced digital telecommunications payloads. In this role, you will develop…
Added 1 hour ago
Satellite Bus Flight Software Systems Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Contract · Remote
We are seeking an experienced Satellite Bus Flight Software Systems Engineer to lead and support the system-level definition, architecture, integration, verification, and operational…
Added 1 hour ago
Satellite C&DH System Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Contract · Remote
We are seeking an experienced Satellite Command & Data-Handling (C&DH) System Engineer to support the design, integration, verification, and operation of onboard command, control, and…
Added 1 hour ago
Digital Payload System Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Contract · Remote
We are seeking an experienced Digital Payload System Engineer to support the design, integration, and verification of advanced digital regenerative payload systems for LEO and MEO satellite…
Added 1 hour ago
Guidance, Navigation & Control (GNC) Systems Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
Full-time · Remote
We’re looking for a senior GNC/AOCS systems engineer who can work across the full spacecraft lifecycle and bridge GNC algorithms, spacecraft hardware, flight software, systems engineering,…
Added 1 hour ago
Full Stack Engineer
Swim Recruiting
Vancouver, BC
$65 to $85 CAD / hour
Contract
Our client is a leading global fintech company seeking a Full-Stack Software Engineer on one of their fastest-growing lines of business. You'll own features end to end, from onboarding and…
Added 2 hours ago
Digital Payload System Engineer | Remote Opportunity for US Candidate| Fastwater Staffing
HIKINEX
Remote, Canada
Contract · Remote
We are seeking an experienced Digital Payload System Engineer to support the design, integration, and verification of advanced digital regenerative payload systems for LEO and MEO satellite…
Added 2 hours ago
Digital Payload Principal Systems Engineer | Remote Opportunity | Fastwater Stafing
HIKINEX
Remote, Canada
Full-time · Remote
We are seeking a Digital Payload Principal Systems Engineer to provide technical leadership in the architecture, design, and delivery of next-generation digital satellite payloads. In this…
Added 2 hours ago
Senior Mechanical Engineer
Tetra Tech
Pickering, ON
Full-time
We are currently seeking a Senior Mechanical Engineer for our Pickering, ON office. This posting is for an existing vacancy for which we are actively recruiting. To perform this job…
Added 3 hours ago
Customer Experience Engineer
Elation Health
Canada
Full-time
…workflows so automatically that colleagues assume you are an engineer even if you aren’t. If that sounds like you, this role turns that problem-solving instinct into your core…
Added 3 hours ago
Energy Engineer - CDFM - FT Admin
Humber College
Toronto, ON
Internship
The Energy Engineer will support Humber’s overall climate action and energy efficiency objectives with a
Added 3 hours ago
Flight Controls Hydro-Mechanical Equipment Professional / Intégrateur Équipements Commandes de Vol
Airbus
Montreal, QC · Mirabel, QC
Full-time
…conception, à la fabrication, à l'intégration et au processus de…
Added 3 hours ago
Ingénieur(e) En Qualité De Conception/Design Quality Engineer
Actalent
Montreal, QC
$45 to $70 CAD / hour
Contract
…utilisateurs, lanalyse des dangers et la gestion des risques, la vérification et la validation de la conception, les méthodes dessai et leur validation, ainsi que lintégration du contrôle…
Added 5 hours ago
Lead, Software Engineer (Implementations)
Broadridge
Toronto, ON
Full-time
Added 5 hours 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 5 hours ago
Intern, AI Data Developer (Winter)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
…systems that ingest and process large volumes of telemetry, engineer features for scoring and classification models, and extend shared internal platforms with new domain-specific…
Added 5 hours ago
Mine Structural Infrastructure Engineer
Hatch
Sudbury, ON
We are seeking an experienced and highly motivated Structural Engineer with specialist expertise in the design and execution of surface and underground mining infrastructure projects…
Added 5 hours 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 5 hours ago
Platform/DevOps Engineer
Vasco
Remote, Canada
Full-time · Remote
You'll set the blueprints and guardrails that let every engineer contribute to the platform fast and safely, and when something falls below the bar, you step in and fix the standard so the…

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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