Senior Staff Machine Learning Engineer, Reddit

Bidding and Pacing

$260.8-365.1k

+ Equity in the form of restricted stock units; 'Salary is benchmarked on US rates and may vary by other locations

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Elasticsearch

Redis

Postgres

Airflow

Tensorflow

Cassandra

C++

Spark

PyTorch

Flink

BigQuery

Drone

Spinnaker

Expert level

Chicago

Los Angeles

New York

San Francisco Bay Area

Remote from Canada, US

Online platform for thoughts, experiences & discussions

Job no longer available

Online platform for thoughts, experiences & discussions

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Job no longer available

$260.8-365.1k

+ Equity in the form of restricted stock units; 'Salary is benchmarked on US rates and may vary by other locations

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Elasticsearch

Redis

Postgres

Airflow

Tensorflow

Cassandra

C++

Spark

PyTorch

Flink

BigQuery

Drone

Spinnaker

Expert level

Chicago

Los Angeles

New York

San Francisco Bay Area

Remote from Canada, US

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Company mission

To empower communities, and make their knowledge accessible to all.

Job

Company

Role

Who you are

10+ years of contributing high-quality code to production systems that operate at scale
2+ years of experience operating as 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
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

What the job involves

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
We are seeking a highly skilled engineer to take a critical role in building state-of-the-art bidding optimization systems
As a leader of this team, you will help us uplevel the capabilities of Reddit Ads platform through innovative optimization products that enhance advertiser value
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
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, 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
Some of the project highlights include:
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

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 130,000 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 120 million daily users and billions of monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddit 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, 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

Top investors

57% employee growth in 12 months

Glassdoor (3.9)

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

(CEO & Founder)

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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