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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer - Pricing & Revenue - **Company:** HAPPY HOTELS LLC - **Location:** United States (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://arc.dev/remote-jobs/j/redirect/pho721qdja ## 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 - [Speeding up Web Apps performance with WebAssembly and Emscripten](https://www.wearedevelopers.com/videos/1985-speeding-up-web-apps-performance-with-webassembly-and-emscripten) - [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) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Would You Buy Your Own HR? 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