Field Engineer, Public Sector
Austin, TX; St. Louis, MO; Washington, DC · 全职 · 工程与基础设施
需要对标的能力
大模型原理 · LLM 基础Agent 工程 · Harness / 脚手架AI Infra · 推理部署评测 · Eval 方法论AI 产品设计 · 产品化
岗位职责与要求
As a Field Engineer on our federal AI projects, you'll work directly with our largest public sector customers to make sure their experience with Scale's technology is smooth and successful. You'll help these customers build production-grade data pipelines, working closely with our Product, Engineering, and Operations teams. This means learning each customer's use cases in depth and building the tools and documentation they need to grow.
The role sits at the intersection of customer delivery, product, and engineering. The ideal candidate is a generalist software engineer who enjoys working with clients, takes ambiguous problems and turns them into practical solutions, and collaborates closely with Product and Engineering along the way.
An active TS/SCI clearance is required.
What You'll Do
· Build end-to-end data integrations that sync customer data to and from Scale's platform
· Work with customers' engineering teams to optimize data pipelines, including input on API endpoint design and input/output schemas
· Design and maintain playbooks, internal tools, documentation, and SDKs that set customers up for long-term success
· Partner with engineers and Operations to resolve technical blockers, debug delivery issues, and own technical escalations from customers
· Own the customer's technical experience throughout their time with Scale
· Work with Account Executives and Product Managers to identify customer-specific feature requests
· Develop expertise in large language models, 2D image annotation, and API integrations
· Represent Scale and engage with customers at major events
What We're Looking For
· Experience as a customer-facing engineer or in a similar hybrid role
· Hands-on technical experience working with clients in a pre- or post-sales capacity
· Development experience with Python, JavaScript, or other modern languages
· A strong engineering background, ideally in computer science, mathematics, or another quantitative field
· Strong project management and interpersonal skills
· The ability to present credibly to both executives and front-line engineers
· Comfort communicating across internal and external teams
· Intellectual curiosity, empathy, and the ability to move quickly
Nice to Have
· Experience in AI
· Experience working in classified environments
· Prior experience as a technical go-to-market resource
· Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and CI/CD
· Hands-on experience with Kubernetes and Helm charts
· Experience automating infrastructure with Ansible or similar tools
$180,550—$226,550 USD
$150,400—$188,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
查看中文参考译文
作为 Scale 联邦 AI 项目的 Field Engineer,你将直接与我们最大的公共部门客户合作,确保他们使用 Scale 技术的体验顺畅且成功。你将帮助这些客户构建生产级的数据 pipeline,与我们的产品、工程和运营团队紧密协作。这意味着深入了解每个客户的 use case,并构建他们所需的工具和文档以支持其成长。
该职位处于客户交付、产品和工程的交叉点。理想的候选人是一名通才软件工程师,喜欢与客户合作,能够将模糊的问题转化为实用的解决方案,并在过程中与产品和工程团队紧密协作。
需要持有有效的 TS/SCI clearance。
What You'll Do
· 构建端到端的数据集成,将客户数据同步至 Scale 平台及从平台同步出来
· 与客户的工程团队合作优化数据 pipeline,包括 API endpoint 设计和 input/output schema 方面的建议
· 设计和维护 playbook、internal tools、文档和 SDK,确保客户获得长期成功
· 与工程师和运营团队合作解决技术障碍、debug 交付问题,并负责客户的技术 escalation
· 负责客户在 Scale 整个合作周期中的技术体验
· 与 Account Executives 和 Product Managers 合作,识别客户特定的 feature request
· 在 large language models、2D image annotation 和 API integrations 方面建立专业知识
· 代表 Scale 在重大活动中与客户互动
What We're Looking For
· 具有 customer-facing engineer 或类似 hybrid role 的经验
· 在 pre-sales 或 post-sales 阶段与客户合作的实际技术经验
· 使用 Python、JavaScript 或其他现代语言的开发经验
· 扎实的工程背景,最好是 computer science、mathematics 或其他 quantitative field
· 出色的项目管理和人际交往能力
· 能够向高管和一线工程师进行有说服力的 presentation
· 能够自如地在内部和外部团队之间沟通
· 求知欲强、富有同理心,能够快速推进工作
Nice to Have
· AI 领域经验
· 在 classified environments 工作的经验
· 作为 technical go-to-market resource 的过往经验
· 了解 DevSecOps 原则,包括 secure software delivery、infrastructure as code 和 CI/CD
· 使用 Kubernetes 和 Helm charts 的实操经验
· 使用 Ansible 或类似工具自动化基础设施的经验
$180,550—$226,550 USD
$150,400—$188,000 USD
PLEASE NOTE: 我们的政策规定,对于同一职位,需要等待 90 天才能重新考虑候选人。这使我们能够确保对所有申请者进行公平和全面的评估。
About Us:
译文仅供辅助阅读,具体要求以原始招聘来源为准。