Senior Staff Machine Learning Engineer, Reddit

Ads Optimization

$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

Remote in Canada, US

Chicago

Los Angeles

New York

San Francisco Bay Area

Online platform for thoughts, experiences and discussions

Be an early applicant

Online platform for thoughts, experiences and discussions

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Be an early applicant

$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

Remote in Canada, US

Chicago

Los Angeles

New York

San Francisco Bay Area

1001+ employees

B2CB2BPublishingContentSocial MediaCommunity

Company mission

Reddit's mission is to bring community and belonging to everyone.

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

Reddit is a website that facilitates thousands of message board communities, known as subreddits, with an aim to promote authentic human connection. There are more than 100,000 communities on Reddit, covering everything, from food, entertainment, sports, and books, to more niche topics that cater for very specific audiences.

The simple platform is used by more than 52 million people a day and attracts over 50 billion monthly views. While these are impressive numbers, they do pale in comparison with social media giants Facebook and Twitter, however, Reddit distinguishes itself by providing easy-to-find communities for a truly endless range of topics.

Reddit makes money through advertising as well as offering a premium ad-free membership plan. The company has enjoyed continuous user & revenue growth, acquisitions by Conde Nast in 2006 and Advance in 2011, and plans to launch an IPO bid in 2024.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

57% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 6 rounds)

Aug 2021

$410m

SERIES F

Feb 2021

$250m

SERIES E

Total funding: $1.2bn

Company benefits

Paid volunteer time off
4+ months paid parental leave
Personal and professional development stipend
Work from home opportunities
Health insurance

Company values

Make something people love
Evolve
Work hard
Default open

Company HQ

SoMa, San Francisco, CA

Articles

Reddit Claims 52 Million Daily Users, Revealing a Key Figure for Social-Media Platforms

Reddit’s Valuation Doubles to $6 Billion After Funding Round

From internet bad boy to next-door neighbor: Reddit makes a play for mainstream America

Reddit is eyeing a $15 billion IPO. Here’s how it became the giant cultural force it is today.

A Reddit Exec's Advice for Brands Still Thinking About Entering Web3

Leadership

Steve Huffman

(CEO)

After co-founding Reddit in 2005, they stepped away from the company to co-found Hipmunk, where they were the CTO. They returned to Reddit in 2015, and have been the CEO since.

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