资深机器学习工程师,通知
Senior Staff Machine Learning Engineer, Notifications
Reddit 是一个由社区组成的社区。它建立在共同的兴趣、热情和信任之上,是互联网上最开放和真实的对话场所。每天,Reddit 用户提交、投票并评论他们最关心的话题。拥有 100,000 多个活跃社区,以及大约 1.3 亿日活跃独立访客,Reddit 是互联网上最大的信息来源之一。更多信息,请访问 www.redditinc.com。
Reddit 的通知相关性团队正在构建下一代通知系统,专注于通过正确的渠道(推送通知、邮件摘要和应用内通知)在正确的时间将正确的内容传递给正确的用户。我们是 Reddit 最大的增长杠杆之一,也是理解如何让用户满意并吸引新用户发现 Reddit 所有内容的核心组成部分。
Redditors 为世界上每一个小众话题创作了最精彩的内容。利用机器学习和大规模系统开发,我们处理数亿条帖子和用户活动,为数千万用户提供个性化推荐。作为高级专家,您将设计和构建一个可扩展的系统,以支持端到端的推荐系统。您将在多个技术栈领域工作,包括预算优化、候选检索、排序、特征工程、度量、基于大语言模型的答案等,与产品、组织负责人和其他 XFN 深度合作,交付可靠、高质量的系统,帮助 Reddit 通知系统突破当前技术的边界。
您将负责:
- 通过设计和实现内容发现算法,推动 Reddit 的增长,优先考虑无缝且高度个性化的用户体验。
- 深入理解 Reddit 通知产品,并推动通知相关性团队的愿景。
- 提升核心推荐能力,包括候选检索、排序模型和预算优化,同时设计和测试新的管道组件。您还将部署 ML 模型,集成 LLM,确保在整个过程中具备强大的监控和顺畅的产品集成。
- 作为主要的 ML 领域专家,大规模部署最先进的模型,推动架构决策,并确保在整个工程组织中实现强大的监控和顺畅的产品集成。
- 跨学科协作,与 ML、产品、基础设施和
查看英文原文
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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.
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.
The base salary range for this position is:
$266,000—$372,400 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.