Machine Learning Engineer, Reddit
Ads Retrieval
$185.8-260.1k
+ RSU's
Online platform for thoughts, experiences & discussions
Job no longer available
Online platform for thoughts, experiences & discussions
1001+ employees
Job no longer available
$185.8-260.1k
+ RSU's
1001+ employees
Company mission
To empower communities, and make their knowledge accessible to all.
Role
Who you are
- 2+ years of experience with applied machine learning models with Tensorflow/Pytorch with large-scale ML systems
- 3+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
- Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis
- Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset
- Prior experience with information retrieval and recommendation system
- Ads domain knowledge on product and ML solutions is a plus
What the job involves
- Ads Retrieval team’s mission is to identify the business opportunities, provide ML models and data driven solutions on candidate sourcing, recommendation, early ranking and filtering in Ads upper funnel
- The team works on:
- Build and iterate on candidate sourcing and early ranking Machine Learning models and algorithms to find the most relevant, engaging and diversified ads candidates for global optimization and various product use cases
- Design and establish a large scale candidate indexing system to enable efficient candidate retrieval at a scale of millions to billions, which powers ads recommendation and ranking with good balance between quality and computation efficiency
- As a machine learning engineer in the ads retrieval team, you will research, formulate and execute on our mission to build end-to-end ML solutions and deliver the right ad to the right user under the right context with data and ML driven solutions
- Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques
- Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system
- Work on large scale data systems, backend services and product integration
- Collaborate closely with multiple stakeholders cross product, engineering, research and marketing
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
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
(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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