The AI Job Search Engine
Staff Machine Learning Engineer(m/w/x)
Description
In this role, you will design and scale machine learning solutions that enhance products and drive growth. Your hands-on work will involve optimizing reward schemes, leading projects, and collaborating with teams to turn business challenges into predictive solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Proven expertise in building, deploying, and maintaining solutions and services in production
- •Deep knowledge of statistics (A/B testing, regression, probability)
- •Strong programming background in Python and SQL
- •Ability to mentor and set technical direction for ML engineers and cross-functional peers
- •Strong communication skills to influence technical and non-technical stakeholders
- •Passion for gaming and strong understanding of player behaviour
- •Experience with adtech, monetisation platforms, or the gambling industry
- •Familiarity with gaming KPIs such as pLTV, retention, and ROAS
Work Experience
approx. 1 - 4 years
Tasks
- •Design and develop production-grade ML solutions
- •Optimize user reward schemes based on player behavior
- •Lead the implementation of personalized, real-time reward values
- •Identify underperforming reward campaigns and analyze causes
- •Build, deploy, and optimize solutions at scale
- •Provide technical leadership for ML projects
- •Align technical capabilities with business priorities
- •Apply advanced statistical methods for reliability
- •Collaborate with product and engineering teams on data-driven solutions
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Equity in Almedia
Bonuses & Incentives
- •Bonus
Public Transport Subsidies
- •Transport subsidy
Free or Subsidized Food
- •Breakfasts and lunches
Learning & Development
- •Language learning
Healthcare & Fitness
- •Urban Sports Club
- AlmediaFull-timeOn-siteSeniorfrom 130,000 / yearBerlin
- Almedia
Staff Engineer - Machine Learning & Pricing(m/w/x)
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Staff Python Engineer(m/w/x)
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Creative Data Scientist(m/w/x)
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Staff Backend Engineer (Node.js)(m/w/x)
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Staff Machine Learning Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will design and scale machine learning solutions that enhance products and drive growth. Your hands-on work will involve optimizing reward schemes, leading projects, and collaborating with teams to turn business challenges into predictive solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Proven expertise in building, deploying, and maintaining solutions and services in production
- •Deep knowledge of statistics (A/B testing, regression, probability)
- •Strong programming background in Python and SQL
- •Ability to mentor and set technical direction for ML engineers and cross-functional peers
- •Strong communication skills to influence technical and non-technical stakeholders
- •Passion for gaming and strong understanding of player behaviour
- •Experience with adtech, monetisation platforms, or the gambling industry
- •Familiarity with gaming KPIs such as pLTV, retention, and ROAS
Work Experience
approx. 1 - 4 years
Tasks
- •Design and develop production-grade ML solutions
- •Optimize user reward schemes based on player behavior
- •Lead the implementation of personalized, real-time reward values
- •Identify underperforming reward campaigns and analyze causes
- •Build, deploy, and optimize solutions at scale
- •Provide technical leadership for ML projects
- •Align technical capabilities with business priorities
- •Apply advanced statistical methods for reliability
- •Collaborate with product and engineering teams on data-driven solutions
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Equity in Almedia
Bonuses & Incentives
- •Bonus
Public Transport Subsidies
- •Transport subsidy
Free or Subsidized Food
- •Breakfasts and lunches
Learning & Development
- •Language learning
Healthcare & Fitness
- •Urban Sports Club
About the Company
Almedia
Industry
Marketing
Description
The company is building the future of marketing by rewarding a community of over 50 million users for engaging with advertisers' products.
- Almedia
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