1672 English-speaking jobs in Berlin

Statistical Physics PhD Researcher to evaluate physics problems to enhance AI model reasoning. Requires PhD in statistical or mathematical physics, verifiable publication record, and proficiency in Python, LaTeX, and SymPy.

Quantum Information Physicist (PhD) role involves evaluating complex physics problems to enhance AI model reasoning. Responsibilities include designing solutions, auditing work, and collaborating with AI teams. Requires a PhD in a related field and proficiency in Python and LaTeX.

Mathematical Physicist (PhD) role involves developing and solving research-level physics problems. Responsibilities include auditing work and collaborating on AI model performance using Python, SymPy, and Jupyter. Requires a PhD in related fields and a verifiable publication record.

Condensed Matter Physicist (PhD) role involves evaluating physics problems to enhance AI model reasoning. Responsibilities include developing verifiable solutions and auditing work. Requires a PhD in condensed matter physics and proficiency in Python, LaTeX, SymPy, and Jupyter.

Atomic, Molecular and Optical Physicist (PhD) role involves evaluating AI-generated physics content, reviewing complex problems, and developing evaluation rubrics. Requires a PhD in the field, published work, and proficiency in LaTeX, Python, SymPy, and Jupyter.

Condensed Matter Physicist (PhD) role to evaluate and solve research-level physics problems to enhance AI model reasoning. Requires PhD in condensed matter physics, verifiable publication record, and proficiency in LaTeX, Python, SymPy, and Jupyter.

Atomic, Molecular and Optical Physicist (PhD) role evaluating AI-generated physics content. Responsibilities include reviewing complex problems, developing rubrics, and providing structured feedback. Requires a PhD, published work, and proficiency in LaTeX, Python, SymPy, and Jupyter.

Astrophysics PhD needed to evaluate AI model training and develop complex physics problems in gravitation, cosmology, or astroparticle physics. Requires a PhD, published work, and proficiency in Python and LaTeX.

Clio Specialist supports a customer project by completing and documenting real-world legal practice management workflows within Clio. This role requires hands-on Clio experience to contribute high-quality interaction data for AI development.

Lead, hire, coach, and develop multiple engineering teams, establishing an engineering agenda. Partner with Product Managers to shape priorities, manage risks, and drive execution using data. Requires experience leading product-oriented teams.

Senior iOS Developer to drive modular and scalable iOS architecture. Responsibilities include building reusable components, improving CI/CD, and strengthening testing. Requires expertise in Swift, modular architecture, and clean design patterns.

Lead and develop an engineering team for Core Commerce Services. Define technical vision, architecture, and roadmap for scalable services, including headless checkout, using DDD. Requires backend engineering and distributed systems experience.

Develop the recommendation engine using Node.js/TypeScript, serving offline ML models at scale. Design personalization logic and build GenAI features like a fashion advisor, focusing on low latency.

Lead Backend Engineer for Personalization, owning complex backend systems in Search, Recommendations, or Sorting. Shape architecture for high-throughput, low-latency services, combining ML models and business logic. Requires 7+ years building scalable systems.

Senior Backend Engineer to build and own a high-throughput ranking engine, blending ML outputs with business logic. Develop low-latency APIs using Node.js/TypeScript and design reliable batch write pipelines to relational stores. Requires 5+ years in backend systems and strong SQL knowledge.

Develop the search engine using Node.js/TypeScript, covering query understanding, entity resolution, and vector search. Build search-index pipelines and integrate LLMs under latency budgets. Requires 5+ years building scalable backend APIs.

Lead end-to-end RevOps strategy to operationalize GTM strategy. Drive forecasting rigor, optimize Salesforce, and lead the RevOps team. Requires B2B GTM strategy, revenue analytics, and Salesforce skills.

Drive revenue growth as a (Senior) Enterprise Account Executive, owning the full sales cycle for Climate Performance Asset management. Requires enterprise sales experience, exceeding targets, and presenting complex solutions to C-suite executives.

Drive post-transaction delivery and manage cross-functional workflows for enterprise climate asset management. This role requires 2-7 years in B2B customer success, strong operational discipline, and analytical skills.

Tech Lead to architect and scale a B2B procurement platform for Climate Performance Asset management. Requires 5+ years of experience, deep proficiency in TypeScript/Node.js, and expertise in system design.