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Scale AI

Supplies AI training data and builds AI apps

Field Engineer - Public Sector

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience as a customer-facing engineer or in a similar hybrid role.
  • Hands-on technical experience working with clients in a pre-sales 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.
  • Ability to present credibly to executives and front-line engineers.
  • Comfort communicating across internal and external teams.

Responsibilities

  • 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 providing input on API endpoint design and input/output schemas.
  • Design and maintain playbooks, internal tools, documentation, and software development kits that support customers' 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.

Desired Qualifications

  • Experience in artificial intelligence.
  • 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 continuous integration/continuous delivery.
  • Hands-on experience with Kubernetes and Helm charts.
  • Experience automating infrastructure with Ansible or similar tools.

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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