Senior Machine Learning Engineer, Reddit
Feed Relevance
$216.7-303.4k
+ Equity eligibility (RSUs)
Online platform for thoughts, experiences and discussions
Be an early applicant
Online platform for thoughts, experiences and discussions
1001+ employees
Be an early applicant
$216.7-303.4k
+ Equity eligibility (RSUs)
1001+ employees
Company mission
Reddit's mission is to bring community and belonging to everyone.
Role
Who you are
- 4+ years of experience as a machine learning engineer or software engineer developing backend / infrastructure at scale, using Go, Python, or any object oriented programming language
- 2+ years building data or model-serving pipelines at scale
- Experience working with recommender systems or other ML-driven products
- Familiar with software engineering best practices such as unit testing and code reviews, design, and documentation
- Skilled at diving into data to debug system performance and develop a deeper understanding of how users are engaging with the product; proficient with SQL and data analysis
- Passionate about building delightful products for users
- Entrepreneurial spirit. You love to build new things and thrive in ambiguity and even failure. You figure out what it takes to drive projects to success
- Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences
What the job involves
- As a Senior Software Engineer, ML Feed Relevance, you’ll build the pipelines and low-latency services behind one of the largest personalized feeds on the internet
- You’ll turn modeling ideas into production systems, wire up new features and ranking signals, and design experiments that let us ship with confidence—all while helping millions of users connect with their favorite content and discover new communities
- Write efficient, scalable and maintainable code that will help consistently deliver highly personalized experiences to Reddit users
- Design and implement components of our recommender systems to adapt to user signals and optimize for long term user satisfaction; potentially including user targeting and segmentation, candidate retrieval, reinforcement learning, feature engineering, and prediction models
- Follow data-driven design principles to develop hypotheses, test them via well designed experiments, and analyze the results to learn and iterate
- Champion and drive engineering processes and best practices
- Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges
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
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
- Paid volunteer time off
- 4+ months paid parental leave
- Personal and professional development stipend
- Work from home opportunities
- Health insurance
Company HQ
SoMa, San Francisco, CA
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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