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 82M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Reddit is looking for an experienced Senior Machine Learning Engineer, Core Relevance to join our ML Core Relevance team. You will execute on our mission to build, productionize and improve large-scale machine learning models for home feed personalization. You will design and implement ML systems and solutions for rapid content discovery for low-signal users, enable dynamic personalization into our recommendation pipelines, strive to achieve the right balance between exploration and exploitation for our core users. In this role, you will partner with a diverse group of software engineers, product managers, data scientists and other ML modelers. We are excited for you to join our team!

Responsibilities:

Contribute to enhancing Reddit’s home feed recommendation system and other high-traffic product areas, prioritizing long-term user growth and retention. This involves researching, implementing, improving, testing, and launching new model architectures for candidate retrieval and ranking, such as two-tower, transformer, and graph neural network models.
Design and implement content discovery algorithms to connect our users with the most relevant content.
Develop and implement algorithms to enhance content distribution within the content and creator ecosystems.
Mentor junior engineers.
Work with large scale data, models, piplelines and product integration.

Qualifications:

6+ years of industry experience
4+ years of experience in building and productionizing end-to-end state of the art candidate retrieval and ranking machine learning models at scale.
Deep systems level understanding of industry scale recommendation systems.
Proficient in programming languages such as Python, Golang.
Proficient in working and building machine learning models using PyTorch or Tensorflow.
Big Plus:

Experience with large scale data processing & pipeline orchestration tools like Dataflow, Kubeflow, Airflow, BigQuery and Ray.
Experience in large-scale deep learning recommendation model training using parallel computing, distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources is a big plus.

Benefits:

Comprehensive Healthcare Benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation (please use them!) & Reddit Global Wellness Days
4+ months paid Parental Leave
Paid Volunteer time off

#LI-DB1 #LI-Remote

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:

$216,700—$303,400 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 [email protected].

Compensation Overview

6 month growth

1 year growth

2 year growth

Benefits