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Scale AI

Supplies AI training data and builds AI apps

Forward Deployed Software Engineer - Public Sector

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 5 years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts.
  • Strong production coding skills in Python and TypeScript or comparable modern languages.
  • Comfort across the stack, including cloud platforms such as 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 or eligibility to obtain one.

Responsibilities

  • Embed with government customers to understand their mission, scope the problem, and turn it into working software.
  • Own delivery end-to-end by designing, building, deploying, and maintaining 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 reusable patterns become capabilities for the broader team.
  • Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact.
  • Spend significant time on-site with customers; expect 25% travel, with up to 50% travel as necessary, and/or relocation to Washington, DC or St. Louis.

Desired Qualifications

  • Experience building or deploying systems powered by large language models or generative models.
  • Familiarity with Node, React, Kubernetes, Docker, and Terraform.
  • A data engineering background covering ETL pipelines, data modeling, and data governance.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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