Estimated based on role seniority, company stage (Series F), and industry benchmarks. Actual compensation may vary.
Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).
Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space.
As our customer base is growing, you will be on the front lines of our engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.
Our Infrastructure Security Engineers ensure that the systems powering Scale’s Public Sector solutions are secure, compliant, and resilient. You’ll design and implement secure, scalable backend systems on top of our modern, cloud-native AI infrastructure. You'll lead the development of services operating in high-security environments, define long-term reliability and security goals, and improve the health of critical components across the platform.
Security Engineers collaborate closely with Product, Engineering, and cross-functional teams to deliver backend solutions that meet the demanding requirements of government agencies. You’ll contribute to the platform roadmap, engage with stakeholders to understand mission needs, and ensure our solutions meet strict federal compliance standards (e.g., FedRAMP, STIG, Cloud SRG). A strong foundation in containerized environments, cloud platforms, and security frameworks is essential, along with the ability to solve complex infrastructure challenges at scale.
The ideal candidate brings deep backend experience, a security-first mindset, and a willingness to engage directly with customers and stakeholders. If you're excited by solving hard problems that have real-world impact, we invite you to apply.
You will:
Ideally you'd have:
AI data infrastructure. Labeling, evaluation, and fine-tuning for foundation models.
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