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Scale AI

Supplies AI training data and builds AI apps

Principal Software Engineer

AI Application EngineeringPosted on Nov 5
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A strong engineering background and a Bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience.
  • At least 10 years of post-graduation engineering experience, with proficiency in languages such as Python, TypeScript or JavaScript, Java, or C++.
  • At least 5 years of experience applying artificial intelligence or machine learning in production environments, such as building generative or agentic AI applications, retrieval-augmented generation systems, or evaluation pipelines.
  • Strong problem-solving ability and a track record of taking ambiguous, early-stage problems from a blank page through a working prototype and into production.
  • Deep expertise in system design and architecture, including experience with cloud-based machine learning tools and platforms such as AWS, GCP, or Azure.
  • Experience mentoring engineers and raising the technical bar of a team or organisation.
  • Comfort working directly with clients, from engineering teams to senior executives.
  • Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment.

Responsibilities

  • Take on the hardest technical problems across programs, stepping in where projects are stuck or the path forward is unclear.
  • Lead the technical side of early engagements by working with clients to scope problems, shaping proofs of concept, and keeping the scope needed to prove value as small as possible.
  • Build working prototypes quickly, from AI agents and evaluation pipelines to data and knowledge systems, and take the most promising prototypes to production.
  • Define the technology and architecture underlying solutions, keeping them cohesive, secure, and reusable across clients.
  • Mentor engineers across a young organisation through pairing, design reviews, and code reviews, and set the bar for engineering excellence.
  • Partner with Directors, VPs, and client executives to navigate high-stakes business and technical trade-offs, including travel to client sites as engagements require.
  • Turn patterns from the field into reusable capabilities and contribute components to the core platform so every engagement starts further ahead.
  • Lead agentic engineering in both the AI systems built and the teams’ day-to-day use of coding agents, and push the boundaries of what is possible with AI.

Desired Qualifications

  • Past experience in a forward-deployed engineering role.
  • Experience working at a startup, particularly as a founding engineer.
  • Experience building and deploying large-scale AI solutions.
  • Experience delivering technology programs for governments or regulated industries.
  • Experience deploying solutions on-premises or in customer-controlled environments.
  • Current or previous UK government security clearance, such as SC or DV.

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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