Reddit

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

United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Social Media, Advertising TechnologyIndustries

Requirements

Candidates should have significant experience managing engineering teams, preferably in machine learning or related technical fields. Extensive hands-on experience building and operating large-scale Ads or Marketplace systems is required, along with demonstrated success in people management, team building, hiring, and performance management. Familiarity with PID controllers, multi-armed bandits, reinforcement learning, or other bidding/pricing optimization approaches is preferred, as is expertise in system architecture, scalability, real-time streaming, and robust data pipelines. Knowledge of metric design, experimentation methodologies, and large-scale data analysis is also necessary. Ads domain knowledge is a plus.

Responsibilities

The Machine Learning Manager will set the technical vision and strategy for the Auto-Bidding team, defining and executing the long-term roadmap while collaborating with leadership on technology investments. They will oversee the design, implementation, and maintenance of high-performance advertiser- and sales-facing recommendation and forecasting systems, ensuring accuracy, reliability, and advertiser satisfaction. Additionally, they will recruit, mentor, and retain top engineering talent, foster a collaborative culture, and partner with Product Managers and other engineering teams to align technical work with product requirements. The manager will also champion continuous improvement by driving best practices for model quality, experimentation, system reliability, and operational excellence, while identifying opportunities to increase engineering velocity, reduce costs, and improve system performance.

Skills

Machine Learning
Forecasting
Recommendations Systems
Auto-Bidding
Data-driven
AI
ML Systems
Technical Vision
Roadmap Development
Product Development
System Design
System Maintenance
Accuracy Goals

Reddit

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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