About this role
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
- 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
Tech stack
PythonPyTorchTensorFlowGCPPostgreSQLBigQuery
About Peec AI
Peec AI is hiring for the applied research scientist role. NewJob aggregates active openings directly from Peec AI's applicant tracking system, so this listing is current.
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