Staff Machine Learning Engineer

Almedia; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

A leading advertising company in Berlin is seeking a Staff/Tech Lead Machine Learning Engineer to design and scale impactful ML solutions. Responsibilities include leading projects, providing technical direction, and applying advanced statistical methods. The ideal candidate has experience in adtech, a strong programming background, and excellent communication skills. This role offers a collaborative work environment and numerous employee benefits.

Leistungen

Weekly breakfast and lunch at the office

Public transport ticket

Gym membership

Language classes

Qualifikationen

• Proven expertise in building, deploying, and maintaining ML models in production.
• Deep knowledge of statistics, especially in A/B testing and regression.
• Strong programming background in Python and SQL with cloud experience.

Aufgaben

• Design and scale impactful ML solutions for Almedia's products.
• Lead end-to-end delivery by building, deploying, and optimising ML models.
• Provide technical leadership across ML projects.

Kenntnisse

Building and deploying ML models

Statistics knowledge (A/B testing, regression)

Programming in Python

SQL proficiency

Technical leadership

Strong communication skills

Tools

Cloud platforms

Jobbeschreibung

Almedia is the fastest-growing advertising company in Europe, according to the Financial Times. Based in the heart of Berlin, we offer mobile game and app developers unparalleled returns from rewarded user acquisition, engineering the future of UA with our data-driven approach and community of over 50 million users.

We are at the forefront of a shift in the mobile app advertising landscape, changing the way people find and engage with apps. The industry is adapting around Almedia’s approach, and we are building a team that can push us even further.

Staff/Tech Lead Machine Learning Engineer

• You’ll take ownership of designing and scaling impactful ML solutions that power Almedia’s products and growth.

Types of problems you’ll be solving:

• Building a best-in-class recommendation system

• Maximising player lifetime value (pLTV) in a complex business model using causal ML and sequence modelling

• Designing and optimising reward schemes with Bayesian modelling, based on player behaviour and market shifts

Your role:

• Lead end-to-end delivery: build, deploy, and optimise ML models at scale

• Provide technical leadership across ML projects, ensuring best practices and high-quality code

• Unlock high-value opportunities by aligning ML capabilities with business priorities

• Apply advanced statistical methods to ensure robustness and reliability

• Partner with product and engineering teams to translate business challenges into predictive solutions

You have:

• Proven expertise in building, deploying, and maintaining ML models in production, ideally in adtech or high-scale environments

• Deep knowledge of statistics (A/B testing, regression, probability)

• Strong programming background in Python and SQL, with hands-on cloud experience

• Ability to mentor and set technical direction for ML engineers and cross-functional peers

• Strong communication skills to influence both technical and non-technical stakeholders

Bonus points for:

• Passion for gaming and strong knowledge of player behaviour

• Experience with adtech, monetisation platforms, or gambling industry

• Familiarity with gaming KPIs such as pLTV, retention, and ROAS

Why Almedia?

• Become an owner: As part of our virtual equity option policy, you’ll have the opportunity to share in Almedia’s success and growth.

• Innovative and high-growth: Join a startup that has been profitable from day one and is rapidly scaling its impact in the Ad-Tech space.

• Berlin Office & Collaborative Hub: Work primarily from our modern, centrally located Berlin office, designed to foster strong collaboration, team connection, and organic growth as we build together.

• Other Benefits: Enjoy a range of benefits designed to support your well-being and growth, including weekly breakfast and lunch at the office, a public transport ticket, gym membership, language classes, and with more exciting additions on the horizon.

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.