Peec AI

Berlin, Berlin

€100k - €150k

Vollzeit

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

Peec AI

Berlin, Berlin

€100k - €150k

Vollzeit

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