Applied Research Scientist

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