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 actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility
• Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems
• Design and implement data pipelines to ingest, process, and analyze large volumes of data

What we’re looking for

• Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP)
• 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 in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems
• Excellent communication skills with the ability to explain complex technical concepts to customers and 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
• Aggressive equity compensation package
• Remote working (applicants must be located within ±3 hours of the Berlin (CET) time)