Staff Engineer - Machine Learning & Pricing

Staff Engineer - Machine Learning & Pricing

Get AI-powered advice on this job and more exclusive features.

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 50 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

At Almedia, You’ll

• Own way more, way earlier — you’ll be trusted with responsibility fast.
• Push harder, get further — this isn’t a 9–5. We highly reward intensity.
• Join a rare environment — you will work with ambitious high-speed, high-ownership people.
• Fully present — we’re 5 days a week in the office to build the energising momentum we need.

Staff Engineer – Machine Learning & Pricing

You’ll take ownership of designing, scaling, and optimising the systems that power Almedia’s pricing logic, machine learning models, and data-driven growth experiments. Your work will enable the company to turn complex behavioural and market data into real-time, intelligent pricing systems that directly impact user engagement and revenue.

Types of Problems You’ll Be Solving

• Build and scale dynamic pricing algorithms that adapt to real-time user behaviour and market signals
• Design and deploy ML models that predict user value, engagement, and conversion probability
• Develop experimentation frameworks for continuous testing and optimisation of pricing strategies
• Create high-performance data and ML pipelines integrated with backend services
• Improve model reliability, monitoring, and performance across environments

Your Role

• Lead the end-to-end design, development, and deployment of ML and pricing systems
• Define technical direction and provide leadership across engineering and data science teams
• Collaborate closely with data scientists, backend engineers, and product teams on model integration
• Establish frameworks for model versioning, evaluation, and automated retraining
• Continuously refine architecture to improve scalability, accuracy, and maintainability

You Have

• 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 modelling
• Solid understanding of SQL and cloud environments (AWS or GCP)
• Experience collaborating across engineering, product, and data science functions

Bonus Points For

• Hands-on experience with ML model training, deployment, and monitoring pipelines
• Work on pricing, auction, or optimisation systems at scale
• Background in adtech, gaming, or performance marketing environments
• Passion for data-driven decision making and automation

Why Almedia?

• Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
• Scale With Almedia: Grow alongside a startup that has been profitable from day one.
• Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
• Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Engineering and Information Technology; Industries: Advertising Services

Referrals increase your chances of interviewing at Almedia by 2x