Position Overview
We areseekinga highly skilled Senior Full Stack Software Engineer to join our team supporting research and foundation model development. This roleoperatesat the intersection of research scientists, ML engineers, and infrastructure teams, enabling rapid experimentation, prototyping, andmodeldeployment.
You are comfortable working in a high-ambiguity environment where requirements are often not fully defined. Understanding problems, gathering context (including through modern AI tools), and iterating quickly are key aspects of the role. You will contribute across the stack, building systems that support model development, evaluation, and integration into production workflows.
This team operates in a hybrid working model from our offices in London.
Responsibilities
1. Develop and maintain backend and frontend applications and services
2. Rapidly prototype solutions to support research and experimentation workflows
3. Design, implement, and monitor CI/CD systems and deployment pipelines
4. Build tooling for benchmarking, evaluation, and post-training workflows (e.g., harnesses, environments)
5. Work with 3D data (meshes/BREPs) and support 3D geometry processing and rendering systems
6. Develop and optimize data processing pipelines
7. Identify and resolve bugs and system issues in a timely manner
8. Collaborate with research scientists, ML engineers, and infrastructure teams to enable AI/ML solutions
9. Use modern AI/GenAI tools to accelerate development, gather context, and validate outputs
10. Contribute to shared codebases, ensuring quality, scalability, and maintainability
11. Stay current with emerging technologies and apply them pragmatically in a fast-moving environment
12. Operate effectively in situations with evolving or unclear requirements
Minimum Qualifications
13. Strong programming skills in Python (or similar)
14. Experience developing full stack applications (backend + frontend)
15. Experience using modern AI/GenAI tools as part of the development workflow
16. Familiarity with cloud infrastructure (e.g., AWS), Linux environments, and containerization (Docker)
17. Experience with CI/CD tools and workflows
18. Experience building or working with data pipelines
19. Ability to work in fast-paced, ambiguous environments and drive tasks to clarity
20. Bachelor's degree in computer science, Engineering, or equivalent experience
21. Strong problem-solving, communication, and collaboration skills
Additional Qualifications
22. Experience building prototypes in research or experimental settings
23. Familiarity with workflow/pipeline orchestration tools (e.g., Metaflow)
24. Experience working with 3D data, CAD systems, or rendering techniques
25. Experience with frontend technologies (e.g., JavaScript, React)
26. Understanding of software architecture and design patterns
27. Ability to work across multiple domains (systems, data, UI) as needed
28. Interest in machine learning or AI systems
Preferred Skills
29. Experience supporting or deploying experimental ML models (evaluation, iteration, or internal use)
30. Strong experience with Ray (data, training, or serving use cases)
31. Familiarity with DevOps practices and tools (e.g., Kubernetes, Terraform)
32. Exposure to 3D modelling software and file formats (e.g., meshes, BREPs)
33. Proficiencyin a low-level programming language (e.g., C, C++, Rust)
34. Experience with other cloud platforms (Azure, GCP)
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