peec

Applied Research Scientist

🇩🇪 Berlin, Німеччина На місці Опубліковано Тра 28, 2026
Формат роботи На місці
Мова English
Опубліковано 28 травня 2026 р.
Остання перевірка 30 травня 2026 р.
Контекст JobGrid

Огляд ролі від JobGrid

Applied Research Scientist at peec: Berlin, Німеччина; На місці. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Berlin, Німеччина, На місці
  • Source freshness: checked by JobGrid on 2026-05-30.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

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