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Added 2 hours ago
KC
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 2 hours ago
FT
Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including
Added 2 hours ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including
Added 4 hours ago
JS
Technical Engineer
JFE Shoji Power Canada Inc.
Burlington, ON
- Full-time
Reporting to the Technical Director, the Technical Engineer is responsible for independently reviewing, validating, and approving technical outputs to ensure accuracy, manufacturability,…
Added 5 hours ago
S&
Senior Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Sargent & Lundy values the appropriate use of technology to improve how work gets done and deliver high-quality outcomes for our clients. Depending on the role, employees may use data,…
Added 6 hours ago
EM
Production Engineer
Evertz Microsystems Limited
Burlington, ON
- Full-time
…technical fields and ensuring the Customer’s expectations for quality are always…
Added 6 hours ago
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Lead Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Sargent & Lundy values the appropriate use of technology to improve how work gets done and deliver high-quality outcomes for our clients. Depending on the role, employees may use data,…
Added 6 hours ago
S&
Senior Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Sargent & Lundy values the appropriate use of technology to improve how work gets done and deliver high-quality outcomes for our clients. Depending on the role, employees may use data,…
Added 6 hours ago
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Lead EHV Transmission Line Engineer 2 - Grid
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Toronto, ON · North York, ON
- Full-time
Sargent & Lundy values the appropriate use of technology to improve how work gets done and deliver high-quality outcomes for our clients. Depending on the role, employees may use data,…
Added 6 hours ago
S&
Lead Structural Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Sargent & Lundy values the appropriate use of technology to improve how work gets done and deliver high-quality outcomes for our clients. Depending on the role, employees may use data,…
Added 8 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 8 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 8 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 8 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Experience verifying data quality and/or ensuring data quality through data cleaning.
Added 8 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Experience verifying data quality and/or ensuring data quality through data cleaning.
Added 8 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Experience verifying data quality and/or ensuring data quality through data cleaning.
Added 8 hours ago
H
eTrading Full Stack Engineering - Network
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Toronto, ON
- $91,600 to $137,300 CAD / year
- Full-time
…operational support of network connectivity across collocated data centers exchanges clients carriers and internal trading platforms. Success means delivering secure observable and…
Added 8 hours ago
RS
Pipeline Integrity Technician
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Edmonton, AB
- Full-time
…industries. As a company driven on customer service and a high-quality product, we strive to offer leading edge technology and our team of technicians are driven to provide the highest…
Added 12 hours ago
TT
Mask Data Preparation Engineer/Professional
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- Full-time
Apply process adjustments and verify data quality before release
Added 14 hours ago
KC
Junior Manufacturing Engineer
Kawartha Controls
Omemee, ON
- Full-time
…manufacturing systems. We are seeking a motivated Junior Manufacturing Engineer to join our engineering and manufacturing…
Added 15 hours ago
C-
Technical Sales Intern- Mississauga
Captiveaire - Region 114 Western PA
Mississauga, ON
- Volunteer
…December 2026 or May 2027 and has an interest in being a Sales Engineer. The role will be part time in the…
Added 17 hours ago
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Senior or Principal Civil Engineer
Worley
Calgary, AB
- Full-time
As a Senior or Principal Civil Engineer, you will lead and deliver civil engineering solutions for environmental remediation, landfill, closure, restoration, and related infrastructure…
Added 20 hours ago
R
Wireless Communications Engineer | LoRa, LTE & Satellite
Ranchflow
Halifax, NS
- Full-time
Develop communication protocols for device status, location data, alerts, and virtual boundary updates
Added 20 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Experience verifying data quality and/or ensuring data quality through data cleaning.
Added 20 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…

FDE Times

Machine Learning Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 25, 2026
Experience: 3-5+ years of experience building, deploying, and operating machine learning systems in production
Posting language: English
Posted: Nov 8, 2026

Original job description

Job Description

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.

We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.

We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, - and who want to help shape the future of discovery, relevance, and monetization at Reddit.

If you love working on complex, real-world ML problems at massive scale, this role is for you.

What You’ll Work On

As a Machine Learning Engineer At Reddit, You Will Design And Build Production ML Systems That Power Core Experiences Across The Platform, Including

Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
Intelligent advertising systems including ranking, bidding, measurement, and optimization
Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement

You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.

What You’ll Do

Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
Improve system performance across latency, throughput, and model quality metrics
Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
Contribute to technical strategy, architecture, and long-term ML roadmap

Basic Qualifications

3-5+ years of experience building, deploying, and operating machine learning systems in production
Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
Experience improving measurable metrics through applied machine learning

Preferred Qualifications

Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
Experience working with real-time systems and low-latency production environments
Background in feature engineering, model optimization, and production monitoring
Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams

Ads Measurement Modeling
Ads Targeting and Retrieval
Advertiser Optimization
Ads Marketplace Quality
Ads Creative Effectiveness
Ads Foundational Representations
Ads Content Understanding
Ads Ranking
Feed Relevance
Search and Answers Relevance
ML Understanding
Notifications Relevance

Benefits

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Apply About employer

More about this job

Responsibilities

Design, build, deploy, and operate production machine learning systems for recommendations, search, ranking, advertising, content and user understanding, and AI-powered experiences. Own the ML lifecycle and scalable data and model pipelines, improve system performance and measurable outcomes, and collaborate across product, data science, infrastructure, and engineering teams.

Requirements

Candidates should have 3–5 or more years of experience building and operating production machine learning systems, strong programming and software engineering skills, and knowledge of statistical learning and deep learning. They should have experience with ML frameworks, scalable pipelines and model serving, and translating product or business problems into measurable ML solutions; experience in recommendation, search, advertising, distributed data processing, real-time systems, or LLMs is preferred.

Skills

Machine Learning
Python
Java
Go
PyTorch
TensorFlow
Deep Learning
Recommender Systems
Search and Ranking
Feature Engineering
Model Serving
Distributed Systems
Large-Scale Data Processing
LLM Evaluation and Alignment
Real-Time Systems
Production Monitoring

Benefits

Healthcare Benefits
Income Replacement Programs
401(k) With Employer Match
Global Benefits
Professional Development Support
Caregiving Support
Family Planning Support
Gender-Affirming Care
Mental Health and Coaching Benefits
Flexible Vacation
Paid Volunteer Time Off
Paid Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Applied Machine Learning
Python
Java
Go
PyTorch
TensorFlow
XGBoost
Random Forests
Regression
Transformers
Convolutional Neural Networks
Graph Neural Networks
Recommender Systems
Search and Ranking
Advertising Systems
Auction Systems
Representation Learning
Multimodal Embeddings
Feature Engineering
Model Serving
Spark
Kafka
Ray
Airflow
BigQuery
Redis
LLM Evaluation
Retrieval-Augmented Generation
Model Monitoring

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