[Remote] Machine Learning Manager - PF&O (Recommendations & Forecasting) at Reddit

Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AdvertisingIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Machine LearningForecastingRecommendationsAuto-BiddingAIData-Driven SystemsTechnical LeadershipRoadmap PlanningSystem DesignProduct Development

Questions & Answers

Common questions about this position

What experience is required for the Machine Learning Manager role?

The role requires significant experience managing engineering teams, ideally in machine learning or similarly technical domains, along with extensive hands-on experience building and operating large-scale systems.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of team culture does Reddit promote for this role?

The role involves fostering a collaborative, inclusive, and high-performing culture with a strong emphasis on technical mentorship and career development.

What makes a strong candidate for this Machine Learning Manager position?

Strong candidates will have engineering leadership experience managing ML teams, extensive hands-on experience with large-scale systems, and the ability to set technical vision while mentoring talent.

Online platform for community discussions and content

About Reddit

Reddit is an online platform that allows users to post, vote, and comment on content within various communities based on shared interests. Users can engage in discussions on a wide range of topics, from news and sports to entertainment and hobbies. The platform features a unique voting system where content can receive upvotes or downvotes, helping the most popular posts gain visibility. Reddit generates revenue primarily through advertising, premium memberships, and the sale of virtual goods like Reddit Coins. Unlike many other social media platforms, Reddit emphasizes community-driven content and discussions, creating a space for authentic interactions among users. The goal of Reddit is to foster engagement and connection among its diverse user base.

San Francisco, CaliforniaHeadquarters

2005Year Founded

$1,177.1MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

1,001-5,000Employees

Benefits

Comprehensive health benefits

Flexible unlimited vacation days & monthly global wellness days

Family planning funds & 4+ months paid parental leave

Personal & professional development funds

Paid volunteer time off

Workspace & home office benefits

Risks

Reliance on advertising revenue faces competition from platforms like TikTok and Instagram.

AI tools like 'Reddit Answers' may raise privacy and data usage concerns.

NFT market expansion exposes Reddit to volatility and regulatory scrutiny.

Differentiation

Reddit's unique voting system promotes engaging and authentic content discovery.

The platform's diverse communities cater to a wide range of interests and discussions.

Reddit's AI-powered tools enhance user experience and content moderation.

Upsides

Reddit's confidential IPO plans signal potential growth and market expansion.

AI-driven content moderation can improve user safety and platform reliability.

Expansion into blockchain and NFTs opens new revenue streams and user engagement.

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