Software Engineer - New Grad

Scale AI
London
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Customer focus","Iteration","Quality mindset","Problem solving"]

Build reliable AI systems for real-world, customer-facing products as a New Grad on Scale’s Global Public Sector team. You’ll ship full-stack features, integrate with APIs and services, and work on projects ranging from data pipelines for model development and evaluation infrastructure to agentic AI tooling, fraud detection, and quality/retention systems. The role emphasizes shipping at scale, iterating quickly, and engaging directly with customers.

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FursaFursa
Scale AI
Scale AI
2 days ago

Software Engineer - New Grad

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build reliable AI systems for real-world, customer-facing products as a New Grad on Scale’s Global Public Sector team. You’ll ship full-stack features, integrate with APIs and services, and work on projects ranging from data pipelines for model development and evaluation infrastructure to agentic AI tooling, fraud detection, and quality/retention systems. The role emphasizes shipping at scale, iterating quickly, and engaging directly with customers.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Graduate level

Key Responsibilities

  • •Own meaningful, customer-facing engineering work from day one, shipping products and iterating quickly based on customer needs.
  • •Build and maintain AI-related systems such as reinforcement learning and post-training data pipelines for frontier model development.
  • •Develop evaluation and reliability infrastructure for enterprise and public sector customers, including model reliability measurement.
  • •Ship agentic AI applications and tooling to make systems observable, testable, and safe to deploy.
  • •Build additional systems such as fraud detection, quality matching, UI/UX tooling with ML, and customer support RAG applications.

Key Requirements

  • •Graduation date in Fall 2026 or Spring 2027 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics).
  • •Product engineering experience building web apps full-stack, integrating with APIs and services, and working with customers to iterate on what to build.
  • •Previous Product/Software Engineering internship experience.
  • •Track record of shipping high-quality products and features at scale.
  • •Experience building systems that process large volumes of data.
Experience:AIMachine learningLLMsPublic sector
Education:
Skills:Customer focusIterationQuality mindsetProblem solving
Languages:English
Tech Stack:PythonTypescriptReactMongoDBAPIsWeb appsRAG

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn