远程工作雷达

资深机器学习基础设施工程师,嵌入平台

Staff Machine Learning Infrastructure Engineer, Embedding Platform

AI开发工程限定地区(需当地身份)
公司Reddit
薪资未公开
工作地点Remote - United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-08-12
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote - United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

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+ 个活跃社区,以及约 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。如需更多信息,请访问 www.redditinc.com。

LS Embedding Machine Learning Platform 团队处于构建高度表达性机器学习模型的最前沿,这些模型为 Reddit 的推荐系统提供支持。我们超越了标准的检索和排序架构,利用现代深度学习方法和可扩展的模型设计,以提升 Reddit 生态系统中的个性化体验。我们的工作在大规模内容发现、用户参与和平台增长方面产生深远影响。

你将带来的影响

作为高级机器学习基础设施工程师,你将负责大型机器学习平台的技术方向,指导先进深度学习架构和高影响力 ML 系统的开发。你将与领导层合作定义 ML 发展路线图,推动可扩展模型设计和训练方法的创新,并确保 ML 模型在生产环境中的高效、可靠部署。该职位提供了影响 Reddit 全面 AI 驱动系统的机会,同时指导和提升团队的技术能力。

你将负责的工作

  • 设计并主导下一代大规模机器学习技术的开发。
  • 制定并执行 ML 战略,识别提升 Reddit 个性化和推荐质量的机会。
  • 领导可扩展机器学习系统和实时模型适应方面的研究项目,将前沿进展引入生产环境。
  • 与 ML 基础设施团队合作,构建高性能、分布式训练系统,高效地跨多个 GPU 和云环境扩展。
  • 建立并优化大规模嵌入的实时服务架构,确保低延迟推理和高吞吐量。
  • 与 Feed 排名、广告、内容理解及核心 ML 团队跨职能协作,将 ML 模型集成到 Reddit 的关键 AI 驱动系统中。
  • 指导和引导高级和中级 ML 工程师,培养卓越、创新和知识共享的文化。
  • 保持在技术前沿
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 LS Embedding Machine Learning Platform team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems. We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale.

How You'll Have Impact

As a Staff Machine Learning Infrastructure Engineer, you will own the technical direction for large-scale machine learning platform, guiding the development of advanced deep learning architectures and high-impact ML systems. You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team’s technical capabilities.

What You’ll Do

  • Architect and lead the development of next-generation, large-scale machine learning techniques.
  • Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
  • Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production.
  • Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
  • Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput.
  • Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit’s key AI-driven systems.
  • Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing.
  • Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit’s ML ecosystem cutting-edge.
  • Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making.

Who You Might Be:

  • 8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems.
  • Expertise in modern deep learning architectures, including sequence models and foundational models.
  • Deep understanding of complex multi-entity relationships in machine learning applications and how they are modeled in large-scale systems.
  • Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference.
  • Strong software engineering skills in Python, C++, or similar languages, with experience in ML infrastructure, high-performance computing, and cloud-based ML pipelines.
  • Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams.
  • Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems.
  • Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders.

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
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:
$253,300—$354,600 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.

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