资深软件工程师，AI/ML基础设施
Staff Software Engineer, AI/ML Infrastructure
### **Thumbtack 帮助数百万用户自信地照顾他们的家。**
Thumbtack 是您需要的一款应用，用于维护和改善您的家——从个性化指导到 AI 工具以及一流的招聘体验。每天在美国每个县，人们都依靠 Thumbtack 完成紧急维修、季节性维护和更大的改进。我们帮助房主知道哪些项目要做、何时做以及从我们不断增长的 30 万本地服务企业社区中聘请谁。如果创造影响激励了你，加入我们吧。想象一下我们将一起打造什么。
### **关于机器学习基础设施团队**
在 Thumbtack，我们的挑战涵盖广泛的领域，包括搜索、推荐、匹配、定价、安全、内容生成、欺诈检测等。ML 基础设施团队负责集中化、标准化并推进 AI/ML 基础设施，以实现这些体验。我们通过提供可扩展、高性能的系统来赋能产品工程团队，推动大规模 AI 创新。要了解更多关于 Thumbtack 的工程挑战，请访问我们的 [工程博客](https://www.thumbtack.com/engineering/)。
### **挑战**
作为团队中的高级软件工程师，你将是在 Thumbtack 每个 AI 驱动体验的关键路径上工作的资深技术领导者。你将在团队的两个主要方面设定技术方向：AI/ML 平台（LLM 网关、模型训练与服务、特征与数据流程、编排、可观测性）以及 AI 评估平台（跟踪摄入、评分器基础设施、LLM 作为评判者的校准、预部署回归门禁，以及为产品团队提供的自服务评估工具）。
这不是一个在白板上进行架构设计然后由其他人构建的角色。你将亲自设计、编写并交付重要的系统，同时提升周围工程师的技术标准。你将与应用科学家、产品工程团队和工程领导合作，定义多季度路线图，在快速变化的供应商和开源环境中做出重要的构建/购买/采用决策，并确保平台随着公司快速增长的 AI 抱负而扩展。
### **你将做什么**
- 构建和演进核心 AI 平台功能，使团队能够在 Thumbtack 上开发、运行和扩展 GenAI 驱动的应用程序。
- 参与设计、开发和维护 AI 平台的核心组件，包括模型训练、推理服务、特征工程、数据流水线、监控和日志系统。
- 与应用科学家紧密合作，推动 AI 模型从实验到生产的转化过程。
- 设计和实现高效的 AI 评估系统，支持模型性能的持续监控和优化。
- 协助制定长期技术战略，推动平台的可扩展性和稳定性。
- 与跨职能团队协作，确保 AI 平台满足业务需求并符合工程最佳实践。
查看英文原文
### **Thumbtack helps millions of people confidently care for their homes.**
Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.
### **About the Machine Learning Infrastructure Team**
At Thumbtack, our challenges span a wide range of areas, including search, recommendations, matchmaking, pricing, safety, content generation, fraud detection, and more. The ML Infrastructure team is responsible for centralizing, standardizing and evolving AI/ML infrastructure that enables these experiences. We empower product engineering teams by providing scalable, high-performance systems that drive AI innovation at scale. To read more about some of the engineering challenges at Thumbtack, visit our [engineering blog](https://www.thumbtack.com/engineering/).
### **The challenge**
As a Staff Software Engineer on the team, you will be a senior technical leader on a team whose systems sit in the critical path of every AI-powered experience at Thumbtack. You will set technical direction across both of the team's surfaces: the AI/ML platform (LLM gateway, model training and serving, feature and data workflows, orchestration, observability) and the AI evaluation platform (trace ingestion, scorer infrastructure, LLM-as-judge calibration, pre-deploy regression gates, and self-serve evaluation tooling for product teams).
This is not a role where architecture happens on a whiteboard and someone else builds it. You will design, write, and ship significant systems yourself while raising the technical bar of the engineers around you. You will partner with applied scientists, product engineering teams, and engineering leadership to define multi-quarter roadmaps, make consequential build/buy/adopt decisions across a fast-moving vendor and open-source landscape, and ensure the platform scales with the company's rapidly growing AI ambitions.
### **What you’ll do**
- Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Thumbtack.
- Contribute to the design, development, and deployment of scalable tools and infrastructure to support the efforts of our applied scientists, including traditional ML model training and serving systems, feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling.
- Work hands on across the stack, from backend services and execution infrastructure to integrations with AI models and tooling.
- Partner with senior engineers to evaluate next-generation AI infrastructure frameworks and tools that help product teams harness advances in AI.
- Drive projects to completion with a strong focus on business impact and measurable outcomes.
- Solve complex technical problems and stay up to date with advances in this rapidly evolving space.
### **In order to be successful, you must bring**
- 10+ years of professional software engineering experience, with a track record of technical leadership at staff level or equivalent scope, setting direction for systems spanning multiple teams, driving alignment across teams, and seeing them through to production.
- 3+ years building AI/ML infrastructure in production including model serving, feature platforms, training or orchestration systems, or ML observability.
- Hands-on experience with LLM-powered systems in production, including at least some of the following: LLM gateways or proxies, prompt and model lifecycle management, RAG or agentic architectures, and cost optimization for LLM workloads.
- Experience building or operating AI evaluation systems: offline eval pipelines, LLM-as-judge approaches and their calibration against human judgment, regression testing for model or prompt changes, or A/B measurement of AI features.
- Deep experience designing, building, and operating reliable distributed systems, including ownership of production services at meaningful scale, on-call responsibility, and incident leadership.
- Demonstrated ability to use AI coding tools in day-to-day workflows and to validate, critique, and refine AI-generated output.
### **Expected salary ranges**
- For candidates living in all other US locations, the expected total cash compensation (base salary + variable pay, if applicable) range for the role is currently $212,500.00 - $275,000.00.
Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.
Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.
Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: [recruitingops@thumbtack.com](mailto:recruitingops@thumbtack.com).
For information about how Thumbtack collects, uses, and shares personal information about job applicants, please see our [Job Applicant Privacy Policy](https://www.thumbtack.com/job-applicant-privacy-policy).
We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. [Check out our blueprint on how to spot the fakes.](https://careers.thumbtack.com/recruiting-scams)