Machine Learning Manager - PF&O (Recommendations & Forecasting)

Reddit • Canada

Company

Reddit

Location

Canada

Type

Full Time

Job Description

As a company Reddit primarily generates revenue through advertising and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities. Reddit is building out a first-class ads platform with a lot of 0-1 new products that connect advertisers with highly engaged passionate communities. The Advertiser Optimization org is driving this by building out auto-bidding and conversion-based products that will reshape the advertiser experience at Reddit.

The PF&O team (recommendations and forecasting) is building out our advertiser and sales tools – including:

  • ML systems and data-driven recommendations that teach advertisers how to use Reddit campaigns effectively.

  • Forecasting and planning tools to help both internal sales and external agency buyers.

  • Opportunities to use AI ML and Reddit’s unique communities to rethink the advertiser experience.

What you'll do

Set Technical Vision & Strategy:

  • Define and execute the long-term roadmap for the Auto-Bidding team balancing innovation efficiency and revenue impact

  • Collaborate with leadership to align technology investments with broader business objectives

Develop & Optimize Recommendation and Forecasting Systems:

  • Oversee the design implementation and maintenance of high-performance advertiser- and sales-facing products

  • Ensure these systems meet or exceed accuracy goals advertiser expectations and system reliability standards

Mentor & Grow Your Team:

  • Recruit mentor and retain top engineering talent.

  • Foster a collaborative inclusive and high-performing culture with a strong emphasis on technical mentorship and career development

Cross-Functional Collaboration:

  • Partner with Product Managers and other engineering teams to align technical work with product requirements and KPIs

  • Effectively communicate complex technical concepts to non-engineering stakeholders

Champion Continuous Improvement:

  • Drive best practices for model quality experimentation system reliability and operational excellence

  • Identify and implement opportunities to increase engineering velocity reduce costs and improve system performance

What we're looking for

  • Engineering Leadership: Significant experience managing engineering teams ideally in machine learning or similarly technical domains.

  • Industry Tenure: Extensive hands-on experience building and operating large-scale Ads or Marketplace systems.

  • People Management & Team Building: Demonstrated success in managing mentoring and growing teams. Skilled in hiring performance management and fostering diverse inclusive environments.

  • Hands-On ML Proficiency (preferred): Experience with real-time serving systems model development and optimization pipelines.

  • Control Systems & Algorithms: Familiarity with PID controllers multi-armed bandits reinforcement learning or other bidding/pricing optimization approaches.

  • Marketplace Optimization: Skilled in designing new bidding optimization algorithms and conducting A/B tests to evaluate business and marketplace impact.

  • Experimentation & Data Analysis: Knowledge of metric design experimentation methodologies and large-scale data analysis.

  • System Architecture & Scalability: Expertise in building and maintaining scalable systems high-performance serving architectures real-time streaming and robust data pipelines.

  • Ads Domain Knowledge: Familiarity with ads delivery recommendations targeting or marketplace optimization systems.

  • Strategic Vision: Ability to define a clear technical vision and lead day-to-day execution.

  • Cross-Functional Collaboration: Comfortable working across disciplines—engineering product data science—and communicating technical ideas to broad audiences.

What We Offer

  • A dynamic supportive work environment with a diverse team of engineers and cross-functional partners

  • Opportunities for professional growth and development with a focus on continuous learning and skill-building

  • A competitive salary and benefits package with a focus on work-life balance and employee well-being

  • Flexible work arrangements including remote work options to support your individual needs and preferences

  • The chance to work on high-impact projects that drive real results for our users and advertisers

Benefits:

  • Comprehensive Health benefits

  • Registered Retirement Savings plan with matching contributions

  • Income Replacement Programs

  • Family Planning Support

  • Gender-Affirming Care

  • Mental Health & Coaching Benefits

  • Flexible Vacation & Reddit Global Days Off

#LI-Remote

Apply Now

Date Posted

11/16/2025

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