About Reddit

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 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Reddit has a flexible first workforce! If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the United States or Canada.

About the Advertiser Optimization Team

As a company, Reddit primarily generates revenue through advertising, and we're 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 communities.

The Advertiser Optimization 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 and autobidding systems, the team is responsible for a central part of the ads delivery system that automates bidding taking into account advertiser objectives, delivering advertisers' budgets smoothly and completely throughout the day.

Project Highlights

• A bid-based budget pacing system that delivers campaigns’ budgets throughout the day.
• The Maximize Conversions campaign optimization, which uses real-time bidding to meet advertisers’ key objectives.
• The Lowest Cost campaign optimization, which simplifies advertisers’ experiences by automating campaign bids.
• Cost caps that allow advertisers to get as much volume as possible without sacrificing their performance goals.
• Campaign Budget Optimization that automatically manages budget across multiple ad groups and optimizes for maximum volume or maximum value based on advertiser settings.

Role Overview

As a Senior Staff Machine Learning Engineer in the Advertiser Optimization team, you will work closely with technical leaders to build new advertiser optimization products like target CPA and target RoAS bidding, optimized CPM, view-through optimization, etc., that significantly increase the efficiency and ROI for the advertisers. You will be responsible for the quality and technical approach within the team; partner with other leads in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group’s culture and processes. 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.

Responsibilities

• 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.
• Lead a team of 15+ engineers on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
• Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.

Who You Might Be

• 10+ years of contributing high-quality code to production systems that operate at scale.
• 2+ years of experience operating as a Senior Staff engineer.
• 5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
• Experience leading large engineering teams and collaborating with cross-functional partners is required.
• Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.
• Experience with state-of-the-art control systems, reinforcement learning algorithms is a strong plus.
• An adept communicator and has experience communicating with and updating executives.

Experience with Technologies

• Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++, or similar.
• Data processing frameworks like Spark, Flink, Kafka, Druid, etc.
• A cloud service provider like AWS or GCP.
• Tools: Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
• Datastores: ElasticSearch / Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
• A machine learning modeling framework like Tensorflow or PyTorch.

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.

Join us at Reddit, and help us build a community that is inclusive and empowering for everyone.

Pay Transparency

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit Reddit Careers.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is: $260,800—$365,100 USD.

Reddit is proud to be an equal opportunity employer and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.