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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer - **Company:** Postaladdress - **Location:** Germany (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Data Infrastructure, Python (Programming Language), Machine Learning, Backtesting, Standard Sql, Toolchain, Management of Software Versions, Snowflake - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/staff-machine-learning-engineer-pricing-revenue-m-f-d-happyhotel-8335255 ## About the Role * Deep Experience: You have 5+ years relevant experience in ML Engineering, Data Science, or Analytics (or an equivalent track record that convinces us). * Proven Impact: You have already achieved demonstrable success in the areas of pricing, revenue, forecasting, or similar "money systems." * Evaluation Pro: You think offline vs. online, immediately recognize bias/leakage, and master the fundamentals of robust metrics and guardrails. * Tech Stack: Your Python and SQL skills are production-level (testable, versioned, reproducible). * Startup DNA: You love the 80/20 principle, work extremely pragmatically, and want full ownership for your topics. * Language Skills: You communicate fluently and confidently in English. Bonus Points (Nice-to-haves) * Domain Knowledge: Experience in revenue management or dynamic pricing (e.g., travel, mobility, eCommerce). * Demand Understanding: You know how seasonality, events, and lead times affect pricing. * Modern Toolchain: You are proficient in analytics engineering (dbt, Snowflake, Metabase) and know how to build a clean data foundation. ## Description You will take on technical leadership and end-to-end ownership for our Pricing/Revenue-ML topics-with a clear focus on measurable impact. You will work closely with Product and Engineering, define measurability/experiments, and ensure that our models not only "look good" but also perform reliably in practice., * End-to-End Ownership: You are responsible for the entire lifecycle of pricing and revenue topics-from hypothesis to implementation to measurable evaluation. Your focus: Clear business uplift. * Smart Modeling: You develop and optimize forecasting and pricing models. You pragmatically decide which method gets us to the goal fastest and most stably. * Signal Expertise: You manage time series, demand signals, and heterogeneous data sources. You ensure that features and labels are defined absolutely clean and "leakage-proof." * Experimentation Framework: You build a robust measurement system (holdouts, A/B tests, guardrails) and define crystal-clear criteria for rollout decisions. * Engineering-Grade ML: You establish standards for backtesting, reproducibility, and versioning. For us, it's: Engineering quality instead of notebook-only. * Reliable Operations: You ensure operations through smart monitoring, drift detection, and pragmatic retraining mechanisms. * Automation & Scale: You automate high-leverage processes (backtests, monitoring checks) to massively increase throughput and quality. * Data Foundation: Where it makes sense, you design data models directly in the warehouse (Snowflake/dbt) as a basis for reliable metrics and features. * Full Transparency: You standardize dashboards (e.g., Metabase) for our business KPIs and ensure the data quality is beyond reproach. * Stakeholder Sparring: You prioritize requirements together with Product & Revenue and translate them into ML solutions. Your motto: Impact over output. ## Related Videos - [Beyond Hiring: Building a Sustainable Talent Acquisition Engine at Deutsche Bahn](https://www.wearedevelopers.com/videos/1856-beyond-hiring-building-a-sustainable-talent-acquisition-engine-at-deutsche-bahn) - [Speeding up Web Apps performance with WebAssembly and Emscripten](https://www.wearedevelopers.com/videos/1985-speeding-up-web-apps-performance-with-webassembly-and-emscripten) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)