高级机器学习系统工程师，广告机器学习体验平台
Senior Machine Learning Systems Engineer, Ads ML Experience Platform
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 拥有灵活的员工队伍！如果你恰好住在我们任何一个实体办公室附近，欢迎随时来办公室工作。如果不在我们的办公室附近？没关系：你可以在我们设有实体办公地点的任何国家申请远程工作。
团队简介
我们正在构建下一代 ML 研究工具和代理 AI 平台，这些平台将推动 Reddit 上机器学习开发的发展。我们的使命是通过可扩展的平台服务、智能自动化和以开发者为中心的工具，加速广告 ML 的生命周期——从实验和训练到部署、评估和自主操作。
我们的团队负责关键的平台功能，包括离线 ML 实验系统、生产训练编排框架、ML 生命周期自动化以及支持更快模型迭代的代理 ML 框架。
我们正在寻找一位在大规模分布式系统、ML 平台和新兴代理架构方面有深厚专业知识的资深工程师，帮助定义和构建下一代 ML 开发工具的基础工具链。
你将负责
- 设计和构建大规模离线 ML 实验平台，支持可重复的研究、模型开发、评估和推广流程。
- 开发生产级训练编排框架，支持分布式训练、超参数优化、模型评估和自动重新训练。
- 构建实验跟踪、元数据管理、数据溯源、工件版本控制、模型注册表和可重复性的基础设施。
- 与 ML 工程师和研究人员合作，提升实验速度和运营效率。
- 构建模型推广、回滚、合规性验证和持续评估的自动化流程。
- 设计和构建代理 AI 执行平台，支持自主和人机协同的工作流，包括多代理编排、记忆/上下文系统
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 workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence
Team Overview
We are building the next generation of ML research tools and agentic AI platforms that power machine learning development across Reddit. Our mission is to accelerate the Ads ML lifecycle – from experimentation and training to deployment, evaluation, and autonomous operations – through scalable platform services, intelligent automation, and developer-centric tooling.
Our team owns critical platform capabilities including offline ML experimentation systems, production training orchestration frameworks, ML lifecycle automation and, agentic ML frameworks that enable faster model iterations.
We are looking for an experienced engineer with deep expertise in large-scale distributed systems, ML platforms, and emerging agentic architectures to help define and build the foundational tooling for the next generation of our machine learning devX tooling.
What You’ll Do
- Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows.
- Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining.
- Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility.
- Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency.
- Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation.
- Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows, including multi-agent orchestration, memory/context systems, and scalable workflow infrastructure.
What You Bring
- 5+ years in infrastructure/platform engineering or large-scale distributed systems.
- 2+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling.
- Experience building workflow orchestration systems, developer platforms, or large-scale automation frameworks.
- Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent technologies.
- Experience with modern orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or similar frameworks.
- Experience building offline ML experimentation platforms, model registries, experiment tracking systems, or training orchestration frameworks.
- Experience building and operating agentic AI systems, including multi-agent orchestration, autonomous workflows, and agent communication/runtime frameworks (e.g., MCP, A2A, and orchestration systems) is a strong plus
- Experience running end-to-end model development and iteration cycles at scale is a plus
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
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:
$216,700—$303,400 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.