Machine Learning Manager

Reddit is a community of communities. Every day Reddit users submit vote and comment on the topics they care most about. With 100000 active communities and approximately 101M daily active unique visitors Reddit is one of the internets largest sources of information. As a company Reddit primarily generates revenue through advertising and were 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 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 Reddits unique communities to rethink the advertiser experience.
Set Technical Vision & Strategy:
Define and execute the long-term roadmap for the Auto-Bidding team balancing innovation efficiency and revenue impact
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
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
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
Engineering Leadership: 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.
People Management & Team Building: 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.
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.
Expertise in building and maintaining scalable systems high-performance serving architectures real-time streaming and robust data pipelines.
Strategic Vision: Ability to define a clear technical vision and lead day-to-day execution.
Cross-Functional Collaboration: Comfortable working across disciplinesengineering product data scienceand communicating technical ideas to broad audiences.
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
Flexible Vacation & Reddit Global Days Off

#LI-Remote
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