Machine Learning Engineer

About Us

We’re Genie.Knowledge, a small Berlin-based team building technology for the logistics industry. There are four of us: two co-founders (CEO and CTO) and two founding engineers (full-stack and ML).

After two years of custom software for logistics companies, we’re now building our own product as well. Our product is the Intelligent Logistics Pricing Platform. It combines a pricing engine, a market intelligence engine and an adaptive semantic API integration layer. It uses knowledge graphs and semantic technologies to connect data across different systems and sources.

The platform tackles the industry’s hardest pricing problems: fragmented data, complex pricing structures, manual processes, and little visibility into costs, market conditions and profitability. Logistics companies get better pricing without replacing the systems they already run.

About the Role

You'll build the AI side of the platform: agents, extraction pipelines, retrieval and the first pricing models. Your main focus is our own product, with the chance to work on customer projects too.

What you will do

• Build agents and tools for extraction, classification and data enrichment.
• Develop our agentic framework: shared tools, orchestration, memory, guardrails.
• Turn documents, emails and spreadsheets into structured data with agentic extraction pipelines.
• Build retrieval over the collected data: embeddings, vector search, knowledge graphs.
• Train and evaluate pricing and forecasting models as the data allows.
• Set up evaluation: test sets, benchmarks, tracing.
• Run it in production: pipelines, serving, monitoring.
• Take new AI solutions for customers from first prototype to daily use.

What you'll bring

• Depth in at least one of the following: predictive models on commercial or operational data (pricing, forecasting), or LLM and retrieval systems (RAG, embeddings, vector search).
• Hands-on evaluation work: you have built test sets or benchmarks and used them to decide what ships.
• Strong Python, including backend services (FastAPI or similar).
• You use AI coding tools and like working that way.
• Comfortable working in English.

Nice-to-haves

• Agentic frameworks (LangGraph).
• Document AI: PDF and spreadsheet extraction, OCR.
• Knowledge graphs and semantic technologies.
• MLOps and orchestration (Airflow or similar).
• PostgreSQL, AWS, Docker, automated testing.
• Experience in, or curiosity about, pricing, logistics or market data.

A little about our culture

We're an English-speaking team of curious, nerdy people who like what we do and joke about it a lot. Communication is open and direct: anyone can share ideas, challenge decisions and disagree. Hierarchy and formality aren't our thing.

Being small, we all wear different hats. We value people who figure things out and take ownership rather than wait for instructions. We like new tech, but solving the actual problem beats using the fanciest tool.

What we offer

• €55–70K gross per year, depending on seniority.
• 28 days of paid vacation per year.
• Hybrid work: 3–4 days a week together at our office near Ostkreuz in Berlin.
• Remote work from abroad: up to 30 days a year from within the EU, plus 30 days from outside the EU (subject to statutory regulations).
• Help build something from the beginning, with a real say in technical decisions and how the product evolves.
• Room to learn and experiment with new approaches and challenges you haven't met before.
• A small team where your voice matters: you work directly with the founders and founding engineers.
• A friendly, informal atmosphere with plenty of humour and nerdy conversations.