обновлено 4 дня назад
Senior Mission Software Engineer (AI)
223 200 - 279 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Mission Software Engineer (AI): Building and deploying AI applications and robust backend systems for US government customers with an accent on end-to-end delivery from prototype to production. Focus on integrating customer environments with Scale's platform and developing mission-critical software in ambiguous environments.
Location: Hybrid, with significant on-site time at customer sites; 25% travel expected, up to 50% as necessary, and/or relocation to Washington, DC or St. Louis.
Salary: $223,200–$279,000 USD or $186,000–$233,000 USD annually, depending on work location and qualifications.
Company
Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for enterprises and government organizations.
What you will do
- Embed with U.S. government customers to understand mission needs and turn them into working software.
- Design, build, deploy, and maintain solutions from initial prototype through stable production at customer sites.
- Build backend systems and data integrations connecting customer environments with Scale’s platform.
- Partner with product and engineering teams to turn field insights into reusable platform capabilities.
- Act as the technical point of contact for customer stakeholders and support adoption.
Requirements
- 5+ years of software engineering experience, preferably in customer-facing, forward-deployed, or government environments.
- Strong production coding skills in Python and TypeScript or comparable modern languages.
- Experience across cloud platforms such as AWS, Azure, or GCP, plus containers, Linux, and networking fundamentals.
- Ability to work independently, make trade-offs under pressure, and operate in ambiguous, fast-moving environments.
- Active TS/SCI clearance required.
- Ability to spend significant time on-site with customers and travel 25%, with up to 50% travel as needed.
Nice to have
- Experience building or deploying systems powered by LLMs or generative models.
- Familiarity with Node, React, Kubernetes, Docker, and Terraform.
- Data engineering experience with ETL pipelines, data modeling, and data governance.
Culture & Benefits
- Health, dental, and vision coverage.
- Retirement benefits and generous paid time off.
- Learning and development stipend.
- Equity compensation may be available for eligible roles.
- Commuter stipend may be available.
- Inclusive equal opportunity workplace with reasonable accommodation support.
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