At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision .
Задачи
Embed with government customers to understand their mission, scope the problem, and turn it into working software
Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production
Build robust backend systems and data integrations that connect customer environments to Scale's platform and back
Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse
Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact
Требования
5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts
Strong production coding in Python and TypeScript (or comparable modern languages)
Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals
Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure
An active TS/SCI clearance
Experience building or deploying systems powered by LLMs or generative models
Familiarity with Node and React, Kubernetes and Docker, and Terraform
Data engineering background covering ETL pipelines, data modeling, and data governance
Location and travel
This role requires significant time on-site with customers
Expect 25% travel with up to 50% travel as necessary, and/or relocation to Washington DC or St
The base salary range for this full-time position in the location of Washington DC/Hawaii is
The base salary range for this full-time position in the location of St. Louis/Suffolk is
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
Условия
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale
223,200 — $279,000 USD
186,000 — $233,000 USD
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данных198 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвычитано из текста вакансии
Формат работыГибридвычитано из текста вакансии
ГеографияОстин, СШАвычитано из текста вакансии
Зарплата≈ 17 667 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-07-31
SA
Работодатель
Scale AI
50 активных вакансий · вилка работодателя указана в 17%
Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — job-boards.greenhouse.io.
Признаки мошенничества
Просят предоплату, «залог» или деньги за обучение и оборудование.
Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
Быстро уводят в мессенджер и торопят с решением.
Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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