远程工作雷达

高级资深机器学习工程师,广告排名

Senior Staff Machine Learning Engineer, Ads Ranking

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
发布时间今天
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 多个活跃社区,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。更多信息,请访问 www.redditinc.com。

职位简介:

我们正在寻找一位高级资深机器学习工程师,负责定义并加速我们如何利用代理 AI 来转变机器学习模型和建模流程。这个高影响力的角色直接聚焦于建模的杠杆效应——提升模型质量和速度,而不是构建通用基础设施。作为高级资深工程师,你将在整个建模循环中担任技术领导者,利用现代 AI 辅助开发系统(如 Claude、Cursor 和类似工具)使模型开发更快、更严谨,并显著提高组织内的效率。

为什么加入我们?这个职位提供了一个领域灵活的平台,重新定义 ML 工程的方式。如果你热衷于将深度 ML 基础与代理 AI 的前沿结合,以放大团队的影响,我们很期待与你交流。

你将负责:

  • 开发先进的 ML 模型以及帮助团队设计、训练、评估和改进它们的代理工作流。
  • 使用 Claude、Cursor 和类似 AI 辅助开发系统来研究模型行为,生成和测试假设,自动化重复分析,并改进代码和实验。
  • 构建可靠的数据和标签分析循环,特征和嵌入开发,架构比较,超参数优化,错误分析和实验输出。
  • 设计评估框架,衡量模型结果和代理/工作流质量,包括正确性、可复现性、回归、成本和延迟。
  • 与产品、数据科学、ML 基础设施和工程团队合作,将建模改进与用户和业务成果联系起来。
  • 在各团队中设定技术方向,指导工程师,并提升建模严谨性和 AI 辅助工程的标准。

任职要求:

  • 9 年以上 ML 工程、应用 ML 或相关领域的经验,有显著的生产影响。
  • 高级资深级别的技术领导力,并有直接影响团队的经验。
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.

About the Role:

We are seeking a Senior Staff Machine Learning Engineer to define and accelerate how we leverage agentic AI to transform machine learning models and modeling workflows. This high-impact role focuses directly on modeling leverage—enhancing model quality and velocity—rather than building general infrastructure.  As a senior staff engineer, you will operate as a technical leader across the entire modeling loop, utilizing modern AI-assisted development systems (such as Claude, Cursor, and comparable tools) to make model development faster, more rigorous, and significantly more effective across the organization.

Why Join Us? This role offers a domain-flexible platform to redefine how ML engineering is done. If you are passionate about combining deep ML fundamentals with the vanguard of agentic AI to multiply team impact, we’d love to talk to you.

What you’ll do:

  • Develop advanced ML models and the agentic workflows that help teams design, train, evaluate, and improve them.
  • Use tools such as Claude, Cursor, and comparable AI-assisted development systems to investigate model behavior, generate and test hypotheses, automate repetitive analysis, and improve code and experiments.
  • Build reliable loops for data and label analysis, feature and embedding development, architecture comparison, hyperparameter optimization, error analysis, and experiment readouts.
  • Design evaluation harnesses that measure both model outcomes and agent/workflow quality, including correctness, reproducibility, regressions, cost, and latency.
  • Partner with product, data science, ML infrastructure, and engineering teams to connect modeling improvements to user and business outcomes.
  • Set technical direction across teams, mentor engineers, and raise the bar for modeling rigor and AI-assisted engineering.

Required Qualifications:

  • 9+ years of experience in ML engineering, applied ML, or a related field, with substantial production impact.
  • Senior Staff-level technical leadership and a record of influencing direction across teams.
  • Deep modeling expertise and strong fundamentals in data, objectives, architectures, optimization, evaluation, and experimentation.
  • Concrete examples of using agentic AI or AI coding tools to produce better ML outcomes—not just faster code generation.
  • Ability to design guardrails and evaluations that make autonomous or semi-autonomous workflows trustworthy.
  • Strong coding ability in Python and fluency with modern ML frameworks and data tooling.
  • Clear, concise communication and a collaborative, low-ego approach to technical leadership.

Perks and Benefits:

  • 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
  • Competitive salary and equity options
  • Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc)
  • Generous 401k matching
  • Flexible vacation policy
  • Paid parental leave (4+ months)
  • Family planning support
  • Paid volunteer time off

#LI-AS1 
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:
$292,500—$409,500 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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