Machine Learning Engineer, Reddit
Ads Optimization and Recommendation
$185.8-260.1k
+ Equity
Online platform for thoughts, experiences and discussions
Job no longer available
Online platform for thoughts, experiences and discussions
1001+ employees
Job no longer available
$185.8-260.1k
+ Equity
1001+ employees
Company mission
To empower communities, and make their knowledge accessible to all.
Role
Who you are
- 2+ years of contributing high-quality code to production systems that operate at scale
- 2+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems
- Experience working with streamed and real time data
- Experienced partnering with both technical and non-technical stakeholders
- Experience working in online marketplaces or the ads domain is a plus
What the job involves
- The Ads Bidding and Pacing team builds ad campaign optimizations that enable advertisers to efficiently capture user engagement while minimizing their costs
- The team leverages machine learning models to incorporate advertisers off-site goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend
- As the primary owners of the budget pacing system, the team is responsible for a central part of the ads delivery system that delivers advertisers budgets smoothly and completely throughout the day
- Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments in order to measure the impact of improvements to these systems
- As a machine learning engineer in the Ads Bidding and Pacing team, you will work closely with technical leaders to implement sophisticated optimization systems
- You are responsible for contributing to a technical design, working across the ad serving stack to create new functionality with urgency and care, and ensuring that codebases are healthy and maintainable in the long-term
- You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers’ voices are represented in your work
- You will design, conduct, and analyze experiments to quantify the impact of the systems that you build
- We are seeking a highly skilled engineer to take a critical role in building state-of-the-art bidding optimization systems
- You will serve as a key contributor to some of the most impactful monetization systems at Reddit
- Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry
- Leverage live auction data and model predictions to adjust campaign bids in real time
- Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems
- Design and conduct rigorous A/B experiments to evaluate the business impact of new bid & budget optimization algorithms
- Writing maintainable code and conducting rigorous analyses
- Contribute data-driven insight to projects in your space. We give everyone a seat at the table and encourage active participation in planning for the future
Our take
Reddits is an online platform that hosts thousands of message board communities (known as subreddits) designed to foster authentic human connection. With more than 100,000 communities covering everything from food, entertainment, and sports to niche interests for highly specific audiences, there's virtually a space for everyone.
The platform attracts over 52M daily users and more than 50B monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddits stands out by offering easily discoverable communities where users can dive deep into virtually any topic imaginable.
Today, Reddit continues to grow its user base and expand its reach, remaining a unique hub for conversation,m connection, and shared interests. With its strong community-driven model and steady revenue streams, it's most definitely positioned to stay a central part of online culture for years to come.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
57% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2021
$410m
SERIES F
Feb 2021
$250m
SERIES E
Total funding: $1.2bn
Company benefits
- Comprehensive health benefits
- Flexible vacation & Reddit global days off
- Family planning funds & 4+ months paid parental leave
- Personal & professional development funds
- Paid volunteer time off
- Workspace & home office benefits
Company HQ
SoMa, San Francisco, CA
Leadership
Steve Huffman
(Co-Founder & CEO)After co-founding Reddit in 2005, they stepped away from the company to co-found Hipmunk, where they were the CTO for 5 years. They returned to Reddit in 2015, and have been the CEO since.
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