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

Working Nomads; Canada; On-site; CAD 100,000 - 140,000; Full time

Job summary

An innovative tech company in Canada is seeking a Machine Learning Manager to oversee the development and optimization of high-performance advertiser tools and systems. This role involves significant leadership responsibilities, hands-on machine learning proficiency, and cross-functional collaboration. The ideal candidate will have extensive experience in managing teams and delivering results in large-scale ads or marketplace systems. Competitive salary and flexible work arrangements offered.

Benefits

Competitive salary

Flexible work arrangements

Registered Retirement Savings plan with matching contributions

Income Replacement Programs

Family Planning Support

Mental Health & Coaching Benefits

Flexible Vacation & Reddit Global Days Off

Qualifications

• Significant experience managing engineering teams, ideally in machine learning or similarly technical domains.
• Extensive hands-on experience building and operating large-scale Ads or Marketplace systems.
• Demonstrated success in managing, mentoring, and growing teams.

Responsibilities

• Define and execute the long-term roadmap for the Auto-Bidding team.
• Oversee the design, implementation, and maintenance of high-performance products.
• Recruit, mentor, and retain top engineering talent.

Skills

Engineering Leadership

Hands-On ML Proficiency

Control Systems & Algorithms

Experimentation & Data Analysis

Marketplace Optimization

System Architecture & Scalability

Ads Domain Knowledge

Cross-Functional Collaboration

Job description

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

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

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

Registered Retirement Savings plan with matching contributions

Income Replacement Programs

Family Planning Support

Mental Health & Coaching Benefits

Flexible Vacation & Reddit Global Days Off