Applied Research Scientist

Job description

WHAT YOU’LL DO - Train, test, and ship models that power Peec AI's recommendations — helping customers boost their visibility in AI search - Develop algorithms that extract insights from consumer search behavior, predict which questions people are asking and which topics are coming up. - Partner with engineering to bring your models into production - Leverage existing data pipelines and infrastructure to run experiments and validate your research at scale - Support the team's work on autonomous agentic systems that collect, verify, and structure information from across the web - Work with web-scale data - building crawlers, working with clickstream data, analyzing large-scale internet signals like URLs, keywords, and user behavior WHAT WE’RE LOOKING FOR - A deep interest in online consumer behavior - Strong statistical and quantitative foundations with experience in statistical modeling, hypothesis testing, causal inference, or Bayesian methods - Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features - Track record of taking projects from research to production, with strong problem-solving skills and comfort working with ambiguous, evolving problems - Familiarity with NLP techniques like ranking models, text classification, embeddings, or information retrieval - Excellent communication skills with the ability to explain complex technical concepts to stakeholders OUR DATA SCIENCE STACK - Languages: Python, SQL - Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX - Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Contributions to open-source projects - Deployed side/hobby projects that we can check out - Presented research papers at top ML or AI conferences - Having started a company before or worked at a high-growth startup - Fluency in Typescript WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin