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
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
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.
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
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
Skills Required
- Strong statistical and quantitative foundations
- Experience in statistical modeling, hypothesis testing, causal inference, or Bayesian methods
- Ability to reverse-engineer AI search behavior
- Track record of taking projects from research to production
- Familiarity with NLP techniques
What We Do
Enabling companies to analyse and improve their visibility in AI search results.
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