Greenhouse ·
full-timeSoftware Engineer, Platform
Scale AI · London, UK
Scale AI operates at the intersection of artificial intelligence and data infrastructure, providing the foundational systems required to train, evaluate, and align large language models. As a Software Engineer on the Platform team, you will focus on building and maintaining the shared infrastructure that supports the company's generative AI data engines. Your day-to-day responsibilities will involve designing foundational data platforms, architecting cloud infrastructure, and optimizing the software development lifecycle. You will work on orchestration stacks, improve deployment processes, and implement systems for document retrieval and RAG. This role is well-suited for engineers with a strong background in distributed systems who are interested in the technical challenges of scaling AI development. The position requires experience with public cloud platforms, containerization tools like Kubernetes and Docker, and state management using databases such as Postgres. You will collaborate across teams to deliver robust systems that enable the development of advanced AI models, making this an ideal opportunity for a professional looking to contribute to the core engineering practices that power large-scale machine learning operations.
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the SGP Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design and implementation of our foundational platforms and systems that will become the baseline for Scale’s capabilities. Collaborate with cross-functional teams to define and understand requirements, design, and deliver new features within a highly iterative and innovative software development lifecycle. Work within the team to lead the market in your team’s AI domain through experimentation with the latest techniques and technologies in this area. Proactively identify opportunities for and drive improvements to current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing guidance and insights on development processes and technologies. Ideally you’d have: 5+ years of full-time engineering experience, post-graduation, with specialties in back-end systems. Excitement to work with AI technologies and build agentic experiences. Extensive experience in software development and a deep understanding of highly scalable and reliable distributed systems hosted on public cloud platforms. Experience building document retrieval and understanding systems, such as RAG, to accurately ingest large-scale client knowledge into client agents and applications. A strong track record of independently owning and delivering successful engineering projects, including the ability to collaborate with and inspire others to engage with the problem space. Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. Experience working fluently with standard containerization and deployment technologies like Kubernetes, Terraform, Docker, etc. Experience with long-running agent/code orchestration platforms, such as Temporal. Mastery of storing state with structured databases, including Postgres. Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, GHA). Nice to haves: Experience across multiple cloud platforms (GCP, AWS, Azure, Oracle, on-premise). Experience with multiple ways to persist contextual data, e.g., knowledge graphs and hierarchical indexes. Experience with other types of large data solutions, e.g., Databricks and Snowflake. Experience with authentication/authorization systems (Zanzibar, Authz, etc.). Experience scaling technical products at hyper-growth startups. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment
| Role | Software Engineer, Platform |
|---|---|
| Company | Scale AI |
| Location | London, UK |
| Type | internship |
| Compensation | Not disclosed |
| Posted | 2026-10-01 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Software Engineer, Platform at Scale AI: frequently asked questions
- What is the salary for this role?
- Scale AI has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Software Engineer, Platform position remote, hybrid or onsite?
- The listing gives London, UK as the location and does not state a work mode.
- What is the application deadline?
- Scale AI has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Software Engineer, Platform role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
More at Scale AI
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- Senior Software Engineer, Orchestration Platform · San Francisco, CA; New York, NY
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