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

Compensation: €120K – €160K

• Offers Equity

• €120K – €160K
• Offers Equity

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