TL;DR
Staff Engineer - Machine Learning & Pricing (AI): Designing, scaling, and optimizing systems that power pricing logic, machine learning models, and data-driven growth experiments with an accent on turning complex behavioral and market data into real-time, intelligent pricing systems. Focus on building and scaling dynamic pricing algorithms, deploying ML models for user value prediction, and developing experimentation frameworks for continuous optimization.
Location: On-site in Berlin, Germany. Requires 5 days a week in the office.
Salary: €105,000–€130,000
Company
hirify.global is a fast-growing tech startup focused on building the future of marketing by rewarding over 60 million users for engaging with advertiser products.
What you will do
- Lead the end-to-end design, development, and deployment of ML and pricing systems.
- Build and scale dynamic pricing algorithms that adapt to real-time user behavior and market signals.
- Design and deploy ML models that predict user value, engagement, and conversion probability.
- Develop experimentation frameworks for continuous testing and optimization of pricing strategies.
- Create high-performance data and ML pipelines integrated with backend services.
- Define technical direction and provide leadership across engineering and data science teams.
Requirements
- Proven experience designing and scaling ML-driven systems in production.
- Strong knowledge of Python, data processing, and system design.
- Experience with experimentation, dynamic pricing, or predictive modeling.
- Solid understanding of SQL and cloud environments (AWS or GCP).
- Experience collaborating across engineering, product, and data science functions.
Nice to have
- Hands-on experience with ML model training, deployment, and monitoring pipelines.
- Work on pricing, auction, or optimization systems at scale.
- Background in adtech, gaming, or performance marketing environments.
- Passion for data-driven decision making and automation.
Culture & Benefits
- Equity in hirify.global for all Berlin-based employees.
- Opportunity to grow with a profitable startup from day one.
- Central Berlin office, fully stocked and built for collaboration.
- Transport subsidy, breakfasts and lunches.
- Language learning, Urban Sports Club membership.
- Emphasis on talent fostering and clear growth paths.
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