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DeepL is building the Operating System for Global Communication, with a focus on real-time voice translation and interpretation. The Voice team is in a 0-to-1 engineering phase, having launched customer-facing features in late 2024 and now scaling to solve the hardest problems in AI interaction: eliminating transcript instability ("flickering"), achieving sub-millisecond latency through chunked inference, and delivering natural-sounding audio streams.
You will join a dynamic, cross-functional squad alongside Researchers, Product Managers, and Designers to build proprietary models, streaming architectures, and user interfaces that enable real-time conversation without language barriers.
Key Responsibilities:
- Adopt a 0-to-1 builder mindset, thriving in ambiguity and prototyping features rapidly before scaling them
- Maintain product obsession, optimizing for human experience (e.g., recognizing that 99% accuracy is meaningless if audio arrives 3 seconds late)
- Ship end-to-end features across the full stack: high-performance React/TypeScript frontends, streaming audio backend services, and AI inference integration
- Debug and resolve real-time communication edge cases: sub-second latency spikes, transcript flicker, audio glitches, unstable networks
- Collaborate closely with PMs, Designers, and AI Researchers to scope and solve hard product and technical challenges
- Demonstrate high agency: automate slow processes, improve unclear documentation, take ownership without waiting for permission
What We Value:
- Product-first mindset: you ask how features drive enterprise deals before writing code
- Full-stack fluency: comfortable building polished UIs in React/TypeScript and shipping backend services in Node.js/TypeScript (or strongly transferable language)
- Real-time expertise: WebRTC, WebSockets, streaming architectures, latency-sensitive systems
- AI-native velocity: leverage GitHub Copilot, Claude, and similar tools to accelerate development and eliminate repetitive work
- High agency and ownership
DeepL operates a Unified Engineering Pipeline: if you pass the bar, you may be matched to the highest-priority role across Core Product, Platform, Voice, or Enterprise based on your skillset.
Company Context:
DeepL is a global AI product and research company founded in 2017 by CEO Jaroslaw Kutylowski. With ~1,000 employees across 90+ nationalities and offices in the UK, Germany, the Netherlands, Poland, the US, and Japan, DeepL serves 200,000+ business customers and millions of individuals across 228 markets. Backed by Benchmark, IVP, and Index Ventures, DeepL builds the entire stack in-house: training next-gen LLMs on proprietary NVIDIA DGX SuperPODs and delivering real-time Language AI to 300+ million users.
Work Environment:
- Hybrid schedule: twice-weekly office attendance with flexible hours
- Global, distributed team with 90+ nationalities
- Monthly Hack Fridays for passion projects and cross-team collaboration
- 30 days annual leave plus mental health resources
- Virtual Shares for all employees
- Regular in-person team and company-wide events
Requirements:
The posting does not explicitly state years of experience or formal education requirements. However, the role expects:
- Demonstrated full-stack software engineering capability (React/TypeScript frontend, Node.js/TypeScript backend or equivalent)
- Hands-on experience with real-time systems (WebRTC, WebSockets, streaming architectures)
- Proven ability to ship end-to-end features in production
- Product-oriented mindset and customer empathy
- Comfort with ambiguity and 0-to-1 building environments
- Willingness to learn and ramp on unfamiliar languages if you have strong transferable skills
