资深机器学习工程师,应用广告建模
Staff Machine Learning Engineer, App Ads Modeling
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。
Reddit 拥有灵活的第一支员工队伍!
我们正在寻找一位资深机器学习工程师加入 Reddit 的广告排名团队。该职位是提升 Reddit 基于机器学习的广告排名系统的一部分,通过改进模型架构、上下文嵌入和转化优化建模来实现。
理想的候选人将具备强大的端到端建模经验,深入理解现代深度学习技术,并热衷于构建能在广告市场中产生可衡量影响的系统。虽然有广告经验是加分项,但来自推荐系统、搜索相关性或其他以性能为导向领域的优秀建模者也欢迎申请。该职位将隶属于应用广告建模团队,并直接向排名团队汇报。
职责:
- 设计和训练先进的 ML 模型(例如 DNN、transformers)来支持 Reddit 广告排名
- 开发和优化特征,包括嵌入、上下文信号和跨会话行为
- 与产品、基础设施和数据团队紧密合作,推动端到端模型部署和性能分析
- 指导其他 MLE,并为整个组织的建模最佳实践做出贡献
- 在一个或多个领域(转化、应用广告、购物、品牌等)塑造长期建模愿景
所需资格:
- 7 年以上行业经验,包括数年在应用 ML 角色中的经验
- 熟悉深度学习架构和 ML 框架(TensorFlow、PyTorch)
- 在推荐系统、广告排名或类似领域有扎实背景
- 有处理大规模数据集和复杂特征管道的经验
- 强大的问题解决和实验能力
- 具备广告或推荐系统领域的前沿模型经验(例如 Transformers、Recsys)
- 了解推荐系统或广告流程
- 在生产环境中交付高影响力模型的记录
- 能够与基础设施和数据团队协作,进行特征服务和训练管道的工作
优先资格:
- 具备卷积神经网络经验
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.
Reddit has a flexible first workforce!
We’re looking for a Staff-level Machine Learning Engineer to join Reddit’s Ads Ranking Org. This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling.
The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report directly into the Ranking Org.
Responsibilities:
- Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking
- Develop and optimize features including embeddings, contextual signals, and cross-session behavior
- Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis
- Mentor other MLEs and contribute to modeling best practices across the org
- Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)
Required Qualifications:
- 7+ years of industry experience, including several years in applied ML roles
- Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)
- Strong background in recommendation systems, ads ranking, or similar domains
- Experience working with large-scale datasets and complex feature pipelines
- Strong problem-solving and experimentation skills
- State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys)
- Knowledge about Recsys or Ads funnel
- Track record of delivering high-impact models in production settings
- Comfort collaborating with infra and data teams on feature serving and training pipelines
Preferred Qualifications:
- Experience with conversion modeling, app ads, or performance/brand ads
- Experience in ads marketplaces at peer companies
- Publications, patents, or industry contributions in applied ML or ranking systems
Benefits:
- 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
- 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-AJ1
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:
$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.
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