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Remote jobs in Kanada

Machine Learning Manager - Ads Engagement Modeling

Machine Learning Manager - Ads Engagement Modeling
Reddit, Inc.
British Columbia
CAD 120.000 - 160.000
Ich möchte über neue Stellenangebote mit dem Stichwort „Remote“ benachrichtigt werden.

Work from Home Data Entry Clerk - (Part-time)

Work from Home Data Entry Clerk - (Part-time)
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Senior iOS Developer, Mobile Platform

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theScore
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Entdecke mehr Stellenangebote als bei herkömmlichen Stellenportalen.
Jetzt mehr Stellenangebote entdecken

Senior Manager, Adobe Architect

Senior Manager, Adobe Architect
Canadian Imperial Bank of Commerce
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CAD 100.000 - 130.000

Sr. Manager, User Experience

Sr. Manager, User Experience
Canadian Imperial Bank of Commerce
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CAD 90.000 - 130.000

Work From Home Customer Service Representative - Part Time

Work From Home Customer Service Representative - Part Time
USASJB
Toronto
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CAD 60.000 - 80.000
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Senior Investment & Financial Modelling Analyst

Senior Investment & Financial Modelling Analyst
Sterlington, PLLC
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CAD 80.000 - 120.000

BAND 2 - Risk Management Consultant

BAND 2 - Risk Management Consultant
Government of British Columbia
Williams Lake
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CAD 70.000 - 90.000

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Sylogist
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Développeur Analyste Systèmes IT et manufacturiers / Developer Analyst IT and Manufacturing Software

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Bell
Mirabel
CAD 80.000 - 100.000

Work From Home Customer Service Representative - Part Time

Work From Home Customer Service Representative - Part Time
USASJB
City of Langley
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Enterprise Applications Manager (ERP, Collaboration, Productivity)

Enterprise Applications Manager (ERP, Collaboration, Productivity)
Marqeta, Inc.
Vancouver
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Associate Manager, Performance Marketing - Canada Offline Media

Associate Manager, Performance Marketing - Canada Offline Media
DoorDash Canada
Vancouver
CAD 98.000 - 141.000

Event & Field Marketing Manager, Social Impact

Event & Field Marketing Manager, Social Impact
Twilio
Ontario
CAD 70.000 - 100.000

Principal Product Marketing Manager, Builder Experience

Principal Product Marketing Manager, Builder Experience
Twilio
Ontario
CAD 100.000 - 140.000

Lead Instructor: GenAI (Copilot)

Lead Instructor: GenAI (Copilot)
Correlation One
Kanada
Remote
CAD 30.000 - 60.000

Sales Development Representative

Sales Development Representative
Ada
Toronto
CAD 50.000 - 60.000

Project Coordinator, Technical Programs

Project Coordinator, Technical Programs
Veriforce LLC
Kanada
Remote
CAD 55.000 - 80.000

Generalist - Corporate, Product & Operations - 14 Positions Open as of 6/13

Generalist - Corporate, Product & Operations - 14 Positions Open as of 6/13
Clipboard Health
Kanada
CAD 60.000 - 250.000

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Parsons
Faro
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CAD 75.000 - 95.000

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Marqeta, Inc.
Vancouver
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CAD 109.000 - 137.000

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Machine Learning Manager - Ads Engagement Modeling

Reddit, Inc.
British Columbia
CAD 120.000 - 160.000
Jobbeschreibung
Machine Learning Manager - Ads Engagement Modeling

Remote - British Columbia, Canada

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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com .

Reddit is home to thousands of communities, endless conversations, and authentic human connection. As our advertising business grows, delivering high-quality and relevant promoted content becomes increasingly critical to both our users and advertisers.The Engagement Modeling Team is at the heart of this effort. This team is responsible for building and maintaining machine learning models that predict and optimize user engagement with ads—ranging from click-through rates to video views and other media-driven interactions. These models power key ad-serving decisions that impact user experience, advertiser outcomes, and Reddit’s long-term business growth.

We are looking for an experienced and strategic Machine Learning Manager to lead this team. This is a high-impact, high-visibility role ideal for someone with deep machine learning expertise, a passion for building scalable systems, and the leadership skills to manage both people and projects in a dynamic, cross-functional environment.

Responsibilities

  • Set Strategy and Vision : Define the technical vision and long-term roadmap for engagement modeling, aligning cutting-edge ML solutions with Reddit’s product and business objectives.
  • Lead Model Development : Oversee the full ML lifecycle, from data generation and pipeline architecture to model training, evaluation, and deployment at scale.
  • Drive ML Innovation : Design and implement state-of-the-art deep learning architectures focused on user engagement, ranking, and recommendation.
  • Team Leadership : Build, mentor, and lead a team of talented machine learning engineers. Foster a culture of technical rigor, innovation, and career growth.
  • Cross-Functional Collaboration : Work closely with product managers, data scientists, and engineers across the Ads organization to define engagement goals, model KPIs, and data needs.
  • Ensure Model Quality : Maintain high standards for ML performance, scalability, interpretability, and robustness in a production environment.

Requirements

  • Deep Learning Architectures : Proven expertise in building ML models for ranking, recommendation, or engagement prediction at scale.
  • ML Frameworks : Proficiency with mainstream ML libraries such as TensorFlow and PyTorch.
  • Production ML Systems : Experience managing the full ML lifecycle—feature engineering, training, testing, deployment, and monitoring—in a production setting.
  • Data Infrastructure : Skilled in orchestrating large-scale data pipelines for training and evaluating ML models.
  • Ads Modeling : Background or familiarity with engagement modeling in the ads domain (e.g., predicting user interaction with promoted content) is a strong plus.
  • Team Management : Experience managing high-performing ML teams, with a focus on mentorship and team growth.
  • ML Experience : Deep hands-on experience working with machine learning models in large-scale production systems.
  • Cross-Functional Leadership : Strong interpersonal skills and a collaborative mindset. Able to effectively partner with PM, DS, and Ads Engineering teams to deliver impactful results.
  • Strategic Thinking : Ability to develop and communicate a clear technical strategy that supports broader business objectives.
  • Retirement Savings plan with matching contributions
  • Workspace benefits for your home office
  • Family Planning Support
  • Flexible Vacation & Reddit Global Days Off

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.

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Reddit Canada Equal Employment Information

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. To bring community and belonging to everyone in the world, Reddit’s employees must represent communities and redditors on our platform.

The Company is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process.

We will work with all applicants to accommodate their individual accessibility needs

Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.

We invite you to self-identify across the identities below so we can better understand our talent pools and assess our effectiveness in attracting and recruiting people to Reddit from all backgrounds.

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