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Staff Machine Learning Engineer(m/w/x)
Optimizing user reward schemes and real-time personalized values for 50M+ users in ad-tech. Proven production ML system expertise and technical mentorship ability required. Equity, transport subsidy, and free meals.
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
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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
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
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Staff Machine Learning Engineer(m/w/x)
Optimizing user reward schemes and real-time personalized values for 50M+ users in ad-tech. Proven production ML system expertise and technical mentorship ability required. Equity, transport subsidy, and free meals.
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
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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
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