Senior Machine Learning Engineer
Employment Information
Job Description
Senior AI/ML Engineer developing personalized algorithms for in-game experiences at a leading mobile gaming studio. Collaborating with cross-functional teams to enhance player engagement and monetization.
Responsibilities:
- Develop models and algorithms to dynamically personalize in-game experiences like level difficulty, player progression, and rewards.
- Use the latest methodologies and frameworks to integrate LLMs to understand word semantics, thematic relationships and player vocabulary mastery, as well as create more engaging player experiences.
- Use data-driven techniques to enhance monetization strategies (e.g., in-app purchases, ad revenue) and improve player retention.
- Design experiments and prototypes to test the viability and efficiency of new AI models.
- Translate research findings into real-world applications by creating algorithm prototypes in our codebase.
- Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle.
- Design, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience.
- Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
- Document work clearly and concisely, fostering knowledge sharing within the team.
Requirements:
- Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong understanding of industry standard ML techniques (e.g. classification, regression, clustering, recommendation systems, etc). Gaming experience is a plus.
- A good command of analytical programming and visualisation languages and libraries (SQL, python and/or R, matplotlib / ggplot etc.) as well as supporting tools and platforms. GCP experience is a plus.
- Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production.
- A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
- Familiarity with A/B testing frameworks and experimentation methodologies.
- Excellent communication skills, with the ability to translate complex data insights into actionable business recommendations.
- Passion for gaming and understanding of mobile game KPIs such as DAU, retention, ARPU, LTV, and churn.
Benefits:
- Medical/Dental/Vision Insurance
- Performance Bonuses
- 401K Match Policy
- Wellness Stipend
- Free Lunch each Friday
- Generous Parental Leave & Family-Friendly Culture
- Annual Credits for Professional Development & In-App Purchases
- Flexible PTO Policy
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