Peec AI
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)
#J-18808-Ljbffr
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)
#J-18808-Ljbffr