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Scale AI

Supplies AI training data and builds AI apps

Team Lead Software Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least an active Secret clearance is required; candidates must hold at least a Secret clearance.
  • Proficiency in full-stack development, including front-end and back-end development, modern web development frameworks, programming languages, and databases.
  • Understanding of containerization and container orchestration.
  • Familiarity with cloud platforms and experience developing and deploying applications in a cloud-native environment.
  • Experience with federal compliance frameworks and requirements, including Cloud SRG, FedRAMP, and STIG benchmarks.
  • Experience developing software and technical solutions that meet strict security and regulatory compliance requirements.
  • Ability to support work three days a week from a DC, SF, NYC, or STL office.

Responsibilities

  • Define how the company ships software by establishing patterns for deployments into complex government and high-security environments.
  • Build and maintain internal command-line interfaces and tools to standardize testing, deployment, and environment management and prevent downstream breakages.
  • Execute automated deployment efforts to reduce technical debt, create functional staging and testing environments, and define standards for safe deployments.
  • Design and implement secure, scalable backend systems for public sector customers using cloud-native AI infrastructure.
  • Mentor team members and manage their performance.
  • Own services or systems, define their long-term health goals, and improve the health of surrounding components.
  • Re-architect the stack for compliant or restrictive environments by designing swappable authentication, storage, and logging components to meet government and security mandates without breaking the product.
  • Collaborate with cross-functional teams to define and execute the vision for backend solutions for government agencies operating in secure environments.
  • Participate in customer engagements and work with stakeholders to understand requirements and deliver solutions.
  • Contribute to the platform roadmap and product strategy for the public sector business.

Desired Qualifications

  • Experience developing and delivering software to air-gapped and isolated environments.
  • Strong analytical and problem-solving ability to understand complex challenges, identify root causes, and develop effective approaches.
  • Ability to communicate technical concepts clearly to non-technical audiences and collaborate with cross-functional teams, stakeholders, and customers.
  • Willingness to learn new technologies and skills, adapt to changing project requirements, and keep up with emerging software engineering trends.

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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