Teams at DeepL

Lead research and engineering to design, implement, and deploy reinforcement learning and post-training methods that align large (multi-modal) models with human intent. Build scalable RL pipelines, run reproducible experiments from prototype to production, collaborate with engineering, ML platform, and HPC teams, and foster academic and industrial partnerships.

Architect and build user-facing identity and access management features across account, session, SSO, SCIM, and OIDC systems. Own services from problem definition through deployment and production reliability, ensuring high availability, security, maintainability, and strong user experience. Lead incident response, on-call operations, system design, technical scoping, and cross-functional collaboration. Primarily develop scalable backend systems using C# and .NET, with optional frontend work in React and JavaScript.

Own integrated, multi-channel campaigns targeting marketing, HR, and learning leaders. Develop persona-specific strategy, messaging, ABM programs, nurture streams, and localized campaign assets in partnership with Product Marketing, Sales, SDR, Field Marketing, Content, Creative, and RevOps. Track pipeline, engagement, conversion, and ROI metrics; use analytics, testing, competitive intelligence, and sales feedback to optimize campaign performance and represent campaign insights to leadership.