Role at a glance
- Salary
- $266K – $372.4K/yr
- Location
- Remote - US
- Work arrangement
- Remote
- Employment
- Contract
- Experience
- 10+ years of industry experience
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Role Summary
The Notifications Relevance team builds personalized notifications across push notifications, email digest, and in-app channels. This Senior Staff role designs and builds large-scale recommendation systems using machine learning and large-scale system development to improve content discovery and notifications relevance.
What You'll Do
- Design and implement content discovery algorithms for a seamless and personalized user experience
- Drive the vision for the notifications relevance team
- Enhance candidate retrieval, ranking models, and budgeting optimization while designing and testing pipeline components
- Deploy ML models, integrate LLMs, and ensure robust monitoring and product integration
- Collaborate with ML, Product, Infrastructure, and Data Science teams on complex technical challenges
- Mentor senior and staff engineers and shape long-term roadmaps with senior leadership and cross-functional org leads
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
The role requires deep expertise in large-scale recommendation systems, experience building and deploying large-scale ML models, production LLM experience, and proficiency in Python or Golang.
Required
- 10+ years of industry experience with deep expertise in large-scale recommendation systems
- Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance
- Strong experience building and deploying large-scale ML models using PyTorch or TensorFlow
- Experience working with LLM in production and utilizing generative AI to augment recommendation systems
- Proficiency in object-oriented programming (Python, Golang)
Preferred
- Notifications experience
- Experience with state of the art model architectures
- Experience building production Agentic AI frameworks
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The Notifications Relevance team at Reddit is building the next generation of notifications focused on delivering the right content to the right user at the right time using the right channel (push notification, email digest and in-app). We are the second largest growth lever at Reddit and a core component to understanding how to delight our current user base and bring new users to discover all that Reddit has to offer.
Redditors produce the most amazing content about every niche topic in the world. Leveraging machine learning and large-scale system development, we process hundreds of millions of posts and user activities to provide personalized recommendations for tens of millions of users. As a Senior Staff, you will design and build a large-scale system that powers end-to-end recommendation systems at scale. You’ll work across multiple areas of the stack, including budget optimization, retrieval, ranking, features, measurement, LLM-based answers, etc, partnering deeply with product, org leads, and other XFN to deliver reliable, high quality systems that can help Reddit Notifications push the boundary on state of the art.
What You’ll Do
- Contribute to advancing Reddit's growth by designing and implementing content discovery algorithms that prioritize a seamless and highly personalized user experience.
- Deeply understand the Reddit Notifications product and drive the vision for the notifications relevance team.
- Enhance core recommendation capabilities, including candidate retrieval, ranking models, and budgeting optimization, while designing and testing new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process.
- Serve as the primary ML domain expert, deploying state-of-the-art models at scale, driving architectural decisions, and ensuring robust monitoring and smooth product integration across the engineering organization.
- Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges.
- Mentor and guide senior and staff engineers in the team.
- Partner closely with senior leadership and cross-functional org leads to shape long-term roadmaps, balancing immediate operational wins with strategic technical objectives.
Who You Are
- 10+ years of industry experience with deep expertise in large-scale recommendation systems, notifications experience preferred.
- Proven ability to identify key opportunities, define roadmaps and drive scalable improvement in notifications relevance.
- Strong experience in building and deploying large-scale ML models using frameworks such as PyTorch or Tensorflow.
- Experience working with LLM in production and utilizing generative AI to augment recommendation systems
- Proficiency in object-oriented programming (Python, Golang).
- Big Plus: experience with state of the art model architectures
- Big Plus: experience building production Agentic AI frameworks.
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-remote, #LI-JS5
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 salary 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.
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.
About the company
Large Enterprise
Reddit is a social media platform that allows users to share content, engage in discussions, and participate in communities known as "subreddits," each focused on specific interests or topics. Founded in 2005, Reddit has grown into one of the largest online forums, fostering a diverse space for information exchange, news sharing, and entertainment. Its unique upvote and downvote system empowers users to curate content, while the platform's anonymity encourages open dialogue and creativity among a global audience. With a strong focus on user-generated content, Reddit continues to be a prominent destination for individuals seeking connection and community online.
Reddit is a social media platform that allows users to share content, engage in discussions, and participate in communities known as "subreddits," each focused on specific interests or topics. Founded in 2005, Reddit has grown into one of the largest online forums, fostering a diverse space for information exchange, news sharing, and entertainment. Its unique upvote and downvote system empowers users to curate content, while the platform's anonymity encourages open dialogue and creativity among a global audience. With a strong focus on user-generated content, Reddit continues to be a prominent destination for individuals seeking connection and community online.