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 73+ million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit redditinc.com.

In this role, as a core member of the Ranking Foundation team, you'll work with the billions of events and terabytes of data generated every day to personalize Reddit posts and comments for each user on the platform, helping them connect and engage with their communities while discovering the best of Reddit.

How You'll Have Impact:
You will own projects from ideation to production instead of being stuck making small incremental gains on enterprise systems. You'll work with a super talented, cross-functional team to solve hard problems in order to create experiences that users will love. We are a team of builders that value impact, personal growth, openness and kindness.

What You'll Do:
Collaborate on projects with other Ranking Foundation and Core Experience engineers where you'll apply Machine Learning to personalization, discovery and recommendation problems.
Build and deploy sophisticated machine learning models to improve experiences for millions of users.
Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate.
Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.

Role Requirements:
2+ years of hands-on, post-grad, non-internship professional experience with Machine Learning in a production-based environment
2+ years of hands-on professional software development experience
Solid theoretical knowledge of Machine Learning and Statistical concepts, including Deep Learning, as well as performance tradeoffs. Experience with recommender and/or ranking systems is a plus.
Experience with at least 1 of: Tensorflow, Keras, PyTorch and Sklearn
Experience working with data-intensive systems and writing production-quality software (preferred Python or golang)
The ability to extract insight from data; proficient with SQL
Passionate about building delightful products for users
Strong communication and team-work skills

Benefits:

Comprehensive Health Benefits
Retirement Savings plan with matching contributions
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off

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 https://www.redditinc.com/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:
$185,800-$260,100 USD

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.

Summary
Company name: reddit
Remote job title: Machine Learning Engineer Ranking Foundation
Job tags: Ideation, Machine Learning, Personalization