Inactive
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Scale AI

Supplies AI training data and builds AI apps

Strategic Projects Lead - Public Sector, Cyber

Program ManagementPosted on Aug 11
Full-timeWashington, DC, USAIn-person

About the Job

Requirements

  • An active Top Secret security clearance.
  • Demonstrated experience in cybersecurity domains such as penetration testing, red/blue teaming, vulnerability assessment, network security, or cyber operations.
  • Two to three years of experience in product development, data science, or operations.
  • A history of successful project management and comfort with ambiguity.
  • Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes.
  • Technical aptitude to understand how to produce data for post-training techniques such as supervised fine-tuning, reinforcement learning through human feedback, and reinforcement learning with verifiable rewards.

Responsibilities

  • Develop, build, and maintain operations infrastructure required to ensure data-labeling pipelines are efficient, scalable, and produce high-quality outputs.
  • Partner with customers to understand their requirements and design dataset taxonomies that evaluate agents and models or improve model performance.
  • Own day-to-day progress on high-priority data-production pipelines, ensuring projects move forward efficiently.
  • Partner with subject-matter experts to validate data quality and translate deep cyber-domain knowledge into scalable processes and measurable outcomes.
  • Work with Machine Learning and Go-to-Market teams to scope customer engagements through technical-feasibility validation and ensure deals are scalable and executable.
  • Influence cross-organizational collaboration to define and advance human-data strategy and ensure data quality, scalability, and long-term platform leverage.
  • Own the financial health of programs by managing project-level COGS through workforce planning, tooling decisions, and process optimization.
  • Use analytics and data-visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance.
  • Own increasingly larger components of data-delivery processes and ultimately serve as the full owner of the most visible and high-impact customer pipelines.

Desired Qualifications

  • Experience working in defense technology and/or an artificial intelligence company.
  • A technical degree in computer science, data science, or engineering.
  • A deep understanding of machine-learning operations for generative artificial intelligence workflows and products.

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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