1378 English-speaking jobs in Berlin

Evaluate frontend code by judging visual fidelity, construction quality, and responsiveness across reference and candidate replications. Requires 3–8 years of frontend experience, mastery of HTML/CSS, and strong written justification skills.

Full-Stack Engineer for AI Systems. Requires 3+ years of experience, fluency in modern frontend/backend frameworks, and production experience with auth, payments, and file uploads. Duties include writing specs, building reference implementations, and calibrating task difficulty.

Design adversarial prompts to stress-test frontier AI models, identifying jailbreaks, unsafe behaviors, and policy failures. Evaluate model robustness across sensitive domains and document vulnerabilities for safety reports. Requires 5+ years in AI Safety or related fields.

IR Expert role involves drafting earnings releases, prepared remarks, and Q&A briefings. Responsibilities include building IR materials and analyzing shareholder base. Requires 4+ years in an in-house investor relations role at a public company.

Statistical Bioinformatics PhD role requires expertise in computational genomics and quantitative biology. Responsibilities include data analysis in R and Python, quality control, and executing multi-step research workflows. A PhD in a related field is required.

Bioinformatics Expert needed for Single-Cell Genomics. Design computational problems for AI systems using software like scanpy and scvelo. Requires graduate STEM training, strong Python skills, and comfort in Linux environments.

ML Engineer role involves using frontier AI coding agents to complete and evaluate complex ML and AI engineering tasks. Responsibilities include reviewing model implementations across training, MLOps, and LLM applications. Requires 2+ years of ML engineering experience and use of AI coding agents.

Applied Mathematics PhD role requires authoring original, rigorous math questions and solutions. Candidates must have a PhD or doctoral candidacy in Mathematics or a related field, demonstrating strong graduate-level concepts and clear written English.

Applied Engineering Benchmark Specialist role requires PhD or doctoral candidate to author complex engineering questions in VLSI, Control Science, or Mechatronics. Must provide Chain-of-Thought solutions and academic references.

Analytics Leader role constructing enterprise data science scenarios for large-scale predictive modeling and analytics governance at Fortune 500 accounts. Requires 5+ years as a data scientist or ML engineer with F500 data product ownership.

Fluid Dynamics and Convection Stability Physicist (PhD) role. Evaluate physics problems to enhance AI model reasoning. Requires PhD in related field with published work on convection stability and proficiency in LaTeX, Python, and Jupyter.

MLOps Engineer focused on LLM Performance, covering kernels, profiling, and serving. Requires 2+ years in ML systems, custom kernels (Triton, CUDA), and serving large language models at scale.

Database Systems Evaluation Expert role requires a PhD or five years of database-engine internals experience. Responsibilities include designing engineering tasks, building correctness checks, and evaluating performance measures.

Information Retrieval Specialist requires a PhD or equivalent expertise in History, Philosophy, Linguistics, Sociology, Political Science, Economics, Fine Arts, Media, or Literature. The role involves conducting precise information retrieval and developing strategies to enhance AI-generated content accuracy.

Econometrics Expert role requires evaluating AI-generated content and economic forecasts for accuracy. Responsibilities include developing evaluation rubrics and providing structured feedback to AI research teams. Must have EViews installed on Windows and experience in Econometrics.

Software Engineer role building MCP servers in Python using FastMCP. Responsibilities include integrating applications into RL Studio, working with APIs, Docker, and Linux environments, and ensuring platform validation. Strong Python skills are required.

Data Engineer role using frontier AI coding agents to complete and evaluate complex data engineering tasks. Responsibilities include reviewing ETL pipelines, data warehouses, and distributed systems for bugs and scalability. Requires 2+ years of data engineering experience.

Develop and maintain high-quality Android applications using Kotlin and Java. Evaluate Android Studio applications on macOS for functionality and performance. Requires proficiency with Android Studio on macOS and the ability to capture high-resolution screenshots.

Senior Data Scientist role requires 5+ years in data science at a Fortune 500 organization. Responsibilities include building predictive models, data pipelines, and MLOps scenarios using tools like Snowflake, Python, and SageMaker.

MLOps Engineer, LLM Performance, requires 2+ years in ML systems or accelerator performance engineering. Focus on kernels, profiling, and serving large language models at scale using JAX/PyTorch.