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Machine Learning Manager - PF&O (Recommendations & Forecasting)
Machine Learning Manager - PF&O (Recommendations & Forecasting)Reddit • Charlotte, NC, US
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Machine Learning Manager - PF&O (Recommendations & Forecasting)

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

Reddit • Charlotte, NC, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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

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.

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 disciplinesengineering, product, data scienceand 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 Healthcare Benefits
  • 401k Matching
  • Workspace benefits for your home office
  • Personal & Professional development funds
  • Family Planning Support
  • Flexible Vacation (please use them!) & Reddit Global Wellness Days
  • 4+ months paid Parental Leave
  • Paid Volunteer time off

    • The base pay range for this position is : $230,000 - $322,000 USD

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