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DeepL

DeepL

www.deepl.com

4 Jobs

1,502 Employees

About the Company

DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals around the world to make sense of the world and express their ideas.

Join us in exploring the possibilities of Language AI!

Listed Jobs

Company background Company brand
Company Name
DeepL
Job Title
Senior Full Stack Engineer | Voice
Job Description
Job Title: Senior Full Stack Engineer – Voice Role Summary: Lead end‑to‑end design, implementation, and maintenance of scalable, real‑time voice interpretation features and APIs. Own feature ownership from concept through deployment, ensuring high quality, performance, and reliability in a fast‑growing AI product. Expectations: • Strong product‑engineering mindset: prioritize user value and pragmatic, technically sound solutions. • Full‑stack fluency: comfortable across backend and frontend layers, with solid system‑design fundamentals. • Engineering excellence: clean abstractions, robust data models, sound architecture, and code quality advocacy. • Collaborative communicator: effective listener, clear speaker, receptive to feedback and cross‑disciplinary teamwork. • Growth‑oriented: rapidly learn new tools, languages, and technologies as needs evolve. Key Responsibilities: 1. Design, develop, test, and ship end‑to‑end voice features and public APIs for meeting platforms and communication channels. 2. Maintain and optimize existing systems for performance, scalability, and reliability. 3. Participate in code reviews, architectural discussions, and establish best practices. 4. Collaborate closely with product managers, designers, research, and other engineering teams to solve user‑centric problems. 5. Engage in on‑call rotation, ensuring continuous service availability and rapid incident response. 6. Continuously evaluate emerging tools and methods, applying new knowledge to improve product quality and team efficiency. Required Skills: • Proven experience building production‑grade full‑stack applications (frontend, backend, API). • Strong grasp of system design, database schema design, and data modeling. • Proficiency in at least one modern backend language (e.g., Go, Java, Node.js) and frontend frameworks (React, Vue, or equivalent). • Familiarity with real‑time streaming, WebRTC, or similar voice/communication protocols is a plus. • Experience with CI/CD pipelines, automated testing, and cloud deployment (AWS, GCP, Azure). • Ability to write clean, maintainable code, perform thorough code reviews, and enforce best practices. • Excellent written and verbal communication skills. • Comfortable with on‑call duties and cross‑functional collaboration. Required Education & Certifications: • Bachelor’s (or higher) degree in Computer Science, Software Engineering, or a related technical field, or equivalent hands‑on experience. • No specific certifications required.
London, United kingdom
On site
Senior
05-11-2025
Company background Company brand
Company Name
DeepL
Job Title
Backend Software Engineer | Convert & Scale
Job Description
**Job Title** Backend Software Engineer – Convert & Scale (CAST) **Role Summary** Develop and maintain backend microservices for subscription management and sales automation within a hybrid‑cloud environment. Drive scalability, reliability, and automation while collaborating across multiple engineering teams to support DeepL’s growth objectives. **Expectations** - Proficient in a modern backend language (e.g., C#, .NET Core) and able to learn new technologies quickly. - Deliver end‑to‑end solutions with full ownership from design through post‑deployment monitoring. - Participate in on‑call rotation and ensure high service availability. - Communicate complex technical concepts clearly to diverse audiences. - Work effectively in a hybrid model (≈2 days on‑site per week) and fluently in English. **Key Responsibilities** - Design, implement, and maintain microservices in a hybrid cloud (Kubernetes) environment. - Collaborate with cross‑functional engineering teams to build complete solutions. - Enhance code maintainability, reliability, and robustness. - Automate development, testing, and deployment pipelines. - Contribute to the backend developer community through knowledge sharing. - Perform testing, QA, monitoring, and incident resolution for delivered features. - Participate in shared on‑call rotation to support service uptime. **Required Skills** - Strong backend development experience; proficiency in C#, .NET Core or comparable language/framework. - Experience with PostgreSQL, Kafka, Grafana, Kubernetes (or similar cloud orchestration tools). - Solid understanding of algorithmic complexity, data structures, and performance optimization. - Practical mindset: balance “perfect” vs. “good enough” based on business impact. - Ability to explain designs to technical and non‑technical stakeholders. - Knowledge of observability, metrics, and full lifecycle application management. - User‑centric approach with empathy for data privacy and experience impact. - Continuous learning attitude and adaptability to new tools/technologies. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). - Relevant certifications (e.g., Microsoft Certified: Azure Developer, Kubernetes Certified Administrator) are a plus but not mandatory.
London, United kingdom
Hybrid
12-11-2025
Company background Company brand
Company Name
DeepL
Job Title
Senior Technical Product Manager | AI Systems
Job Description
**Job Title** Senior Technical Product Manager – AI Systems **Role Summary** Lead product strategy and technical roadmap for deploying and optimizing large language models (LLMs) used across the company's suite of AI products. Drive the entire product lifecycle—from discovery, concept, and development to launch and continuous improvement—while collaborating closely with engineering, research, and business stakeholders to deliver measurable value at global scale. **Expactations** - 5+ years of product management experience in technology, with proven ownership of products delivered to large, international user bases. - Strong technical foundation (computer science or equivalent) and hands‑on software or research experience in AI/ML environments. - Demonstrated ability to manage cross‑functional teams, prioritize initiatives, and translate complex technical concepts into clear, data‑driven strategies. - Analytical mindset: comfortable building, tracking, and evolving metrics/KPIs to validate hypotheses and demonstrate impact. **Key Responsibilities** - Define mission, strategy, and roadmap for efficient LLM deployment across GPU infrastructure. - Translate business and user requirements into development plans that maximize impact. - Own full product lifecycle: discovery, hypothesis formation, prioritization, execution, launch, and iteration. - Establish and track KPIs, validate assumptions pre‑ and post‑implementation, and report results to stakeholders. - Identify feature opportunities and new product ideas leveraging global user data and scale. - Lead cross‑functional collaboration, ensuring alignment between product, engineering, and research teams. - Communicate strategy, insights, and technical concepts to varied audiences using data‑driven storytelling. **Required Skills** - Product management in a technical, AI‑focused environment. - Deep understanding of LLMs, model lifecycle, and GPU‑based production systems. - Experience with data‑driven decision making, metric definition, and analytics. - Strong written and verbal communication; ability to tailor messages to technical and non‑technical stakeholders. - Leadership and mentoring of product teams; ability to drive consensus and maintain momentum. - Problem‑solving skills that decompose large challenges into actionable, measurable steps. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience). - No specific certifications required, but experience with AI/ML platforms, data analytics tools, or product management frameworks (e.g., Scrum, Lean) is a plus.
London, United kingdom
On site
Senior
23-11-2025
Company background Company brand
Company Name
DeepL
Job Title
Senior Research Scientist | Voice AI
Job Description
**Job Title:** Senior Research Scientist – Voice AI **Role Summary:** Lead the research and development of end‑to‑end voice AI systems, including transcription, real‑time translation, and text‑to‑speech. Pilot high‑performance deep learning models on dedicated GPU clusters, optimize for low‑latency production, and translate research breakthroughs into widely deployed products. Work cross‑functionally with engineering, HPC, and DevOps to ensure high reliability and scalability. **Expectations:** - Drive foundational innovation beyond incremental improvements. - Own a research portfolio that directly impacts product quality and market adoption. - Maintain high uptime and performance through participation in on‑call rotations. **Key Responsibilities:** - Design, train, and deploy large‑scale neural models for voice transcription, translation, and TTS. - Optimize models for latency, throughput, and resource efficiency in real‑time environments. - Collaborate with ML platform, HPC, and DevOps teams to move prototypes from research to production. - Lead independent research initiatives, publishing findings and integrating them into product pipelines. - Mentor junior scientists and contribute to the broader research community within the organization. - Participate in an on‑call rotation to ensure service reliability. **Required Skills:** - PhD or equivalent industry experience in mathematics, physics, computer science, or related field. - Proven track record building and shipping large‑scale deep learning models to production. - Expertise in Python and a modern ML framework (PyTorch, TensorFlow, or JAX). - Strong mathematical aptitude in neural network theory and optimization. - Experience with GPU cluster training and large‑scale model deployment. - Excellent English communication; knowledge of German or other languages is a plus. **Required Education & Certifications:** - PhD or Master’s degree in Mathematics, Physics, Computer Science, Electrical Engineering, or a related discipline. - Relevant certifications in Deep Learning or AI (e.g., TensorFlow Developer Certificate) preferred but not mandatory.
London, United kingdom
Hybrid
Senior
24-11-2025