Foundry(YC S24)招聘早期工程师,构建网页代理基础设施
Foundry (YC F24) Hiring Early Engineer to Build Web Agent Infrastructure

原始链接: https://www.ycombinator.com/companies/foundry/jobs/azAgJbN-foundry-software-engineer-new-grad-to-mid-level

Foundry 正在构建基础设施,以实现人工智能驱动的浏览器自动化。他们通过提供精确的模拟、强大的评估工具和对 AI 实验室的直接支持,解决了企业应用(如 Salesforce 和 Workday)中不可靠的 AI 代理失效的问题。受到 Waymo 和 Scale AI 成功案例的启发,Foundry 旨在创建一个严格可靠的平台,以快速提升代理性能,挖掘 15.8 万亿美元的任务自动化潜力。 他们寻找在快节奏环境中蓬勃发展的精英工程师,这些人希望构建基础技术。职责包括:开发 AI 数字员工的基础设施;与机器学习研究人员和产品负责人合作;解决浏览器自动化、分布式系统和机器学习生产中具有挑战性的工程问题。理想的候选人拥有卓越的编码技能、令人印象深刻的项目经验以及快速迭代的倾向。Foundry 提供具有竞争力的薪酬、股权以及在由来自 Meta 和 Scale AI 的经验丰富的运营人员和机器学习研究人员组成的紧密团队中职业发展的机遇。

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原文

Location: San Francisco, CA

Why Foundry Exists: Most of what people do at work sucks—it's manual, repetitive, and wastes time. Recruiters spend hours every day on LinkedIn, CRMs, email, and tedious data entry tasks instead of focusing on the things humans actually do well: building relationships, strategy, and decision-making.

We're building tools so that AI agents can use web browsers exactly like humans, navigating enterprise apps like Salesforce, SAP, or Workday without constant manual intervention. Enterprises like Accenture staff entire teams and charge premium rates just to manage complex platforms like Salesforce, because navigating and operating these systems is so challenging. Right now, browser agents—even those built on GPT-o3—fail most of the time, get stuck on basic UI changes, and require endless manual debugging. This isn't sustainable.

Foundry creates the infrastructure to fix this: precise simulations, robust evaluation tools, and direct support for AI labs trying to get these browser agents to actually work in the real world. We're applying the same proven playbook used by Waymo for autonomous vehicles and Scale AI for large language models—developing rigorous, reliable infrastructure to rapidly improve agent performance.

Big players like OpenAI (Operator), Anthropic, and Mariner are investing heavily here, and it's clear why: McKinsey estimates around 60% of jobs have tasks that are automatable, representing over $15.8 trillion globally. We're at the front of this wave, creating essential tools that make AI-powered automation realistic and reliable.

Who We’re Looking For: You're an elite engineer. You're impatient with bureaucracy and thrive when shipping real, foundational technology quickly.

What You’ll Actually Do:

  • Build and refine infrastructure for next-gen AI digital workers.
  • Collaborate directly with top ML researchers and product leaders.
  • Solve tough engineering challenges around browser automation, distributed systems, and ML in production.

You Probably:

  • Have landed internships or jobs at reputable tech companies or built impressive projects—whether it's sneaker bots, unique web apps, or standout open-source contributions. Exceptional coding skills, strong LeetCode rankings, or competitive programming achievements are a plus.
  • Have impressive projects, internships, side projects, or notable OSS contributions.
  • Ship fast, iterate quickly, and respond well to real-world feedback.

Bonus Points If You:

  • Have experience with React/Next (Typescript), FastAPI (Python), Web Sockets, Postgres, Redis, Pub/Sub, Message Queues (e.g. RabbitMQ), Playwright, Docker, Kubernetes, Github CI/CD
  • Are bored by incremental ML work and want deeper challenges.
  • Have hands-on ML experience: training models, building infrastructure, running experiments.

Why Join Foundry:

We want to build a team around you—giving you the space, resources, and support you need to lead and grow.

We are a tight-knit team of former Scale AI operators and ML researchers who have firsthand experience scaling groundbreaking AI technologies.

  • Do foundational ML work that actually matters.
  • Join an experienced founding team from Meta and Scale AI.
  • Competitive pay, solid equity, real career growth.

If you're excited about actually building something important—reach out. We'd love to talk to you.

联系我们 contact @ memedata.com