Software Engineer (Training Platform)

About the Role

Your impact: This is a great opportunity to play a defining role in building and operating our inference platform. You will connect deep expertise in distributed systems programming with hands‑on knowledge of operating Kubernetes‑based platforms according to best practices, all while supporting the platform in production. You will be instrumental in serving cutting‑edge machine learning models at massive scale for scientific applications, often requiring you to think from first principles. Success in this role demands excellent technical skills, independence, strong ownership, and a relentless user‑focus.

What you will do:

• Contribute to the development and operation of the inference platform, serving fleets of cutting‑edge machine learning models to scientific applications.
• Deliver high‑quality and well‑tested user‑focused features.
• Provide support to users of the platform.
• Perform maintenance work and drive internal tech investments for platform stability, reliability and scalability.
• Build observability and alerting mechanisms for the platform.
• Improve the Continuous Integration/Continuous Deployment (CI/CD) setup of the platform.
• Operate effectively in a fast‑paced and ambiguous environment, ensuring independent delivery.
• Provide great documentation and guidance for other contributors and users.

Essential Experience:

• Writing and maintaining Python code in production environments, with an emphasis on concurrent programming (strong knowledge of async, threads, processes, GIL, etc).
• Building, maintaining and operating Kubernetes services.
• Working with distributed systems.
• Maintaining APIs that serve a moderately large set of internal users.
• Working with ML models; an understanding of ML lifecycle and how serving and operating ML models differs from other kinds of workloads.

Nice to have:

• Experience working on an inference platform.
• Experience managing a fleet of ML models.
• Experience building and maintaining CI/CD processes for complex systems.
• Experience with GCP or other comparable clouds.
• Experience with building internal and user‑focused dashboards.

Hybrid working: It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through them if you’re selected for an initial screening call.

Equal Employment Opportunity Statement: We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.