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Reddit

Staff Software Engineer, ML Feature Platform

Posted 7 Days Ago
Remote or Hybrid
Hiring Remotely in United States
230K-322K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
230K-322K Annually
Senior level
The Staff Software Engineer will architect, implement, and maintain foundational ML infrastructure and feature stores for Reddit, collaborating across teams to advance ML capabilities.
The summary above was generated by AI
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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Location: This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like. 

Who We Are

The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do

As a Staff Software Engineer, ML Feature Platform, you will work on our Machine Learning Feature Platform Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure used to compute, store and retrieve features powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will build feature stores for online inference and model training, tools that enable machine learning engineers (MLEs) and data scientists (DSs) to improve the ML feature software development lifecycle.

  • Lead the building, testing, and maintenance of our ML Feature Store and Feature Engineering infrastructure at Reddit that serves 100 million+ redditors.
  • Work with other engineers across ML Platform and Reddit infrastructure to significantly advance the ML Platform.
  • Work with management on team goal setting, planning, and de-risk project execution
  • Mentor other team members in adopting a rigorous DevOps approach to maintain and/or improve ML infra components and services health and quality

Who You Might Be

  • 8+ years of work experience in a production software development environment
  • Experience working on large-scale ML Systems serving 100s of millions of users
  • Experience building feature stores and feature engineering infrastructure
  • Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Scala, and golang.
  • Experience with Kubernetes
  • Knowledge of maintaining or developing applications using large-scale open source data stack, e.g, Kafka, Flink, Cassandra, Redis
  • Comfortable with distributed systems, big data (Petabyte scale) and data-intensive systems
  • Strong organizational & communication skills

Benefits

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k Match
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Reddit Global Days off
  • Generous paid Parental Leave  
  • Paid Volunteer time off

#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:
$230,000$322,000 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Top Skills

Cassandra
Flink
Go
Kafka
Kubernetes
Python
Redis
Scala

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