Fully Remote Role | Recommender Systems & Game Optimization | Python/PyTorch/AWS
Ready to revolutionize mobile gaming with AI? G5 Games – creators of Sherlock and Jewels of Rome® – seeks a Remote ML Engineer to build scalable machine learning solutions that optimize gameplay for 250 million players. Work from anywhere while developing production-grade models that impact game economies and player engagement.
Our Global ML Team – Building the Future of Game AI
🌍 Why This Remote ML Role?
- 100% Location Freedom: Work remotely from any country where G5 has offices (Sweden, Cyprus, etc.)
- Massive Impact: Your models will optimize gameplay for titles generating $500M+ revenue
- Cutting-Edge Tech Stack:
- PyTorch for deep learning systems
- AWS SageMaker for MLOps
- AutoGluon for time-series forecasting
- Career Accelerators:
- Stock value profit-sharing for key contributors
- $5K/year learning budget (courses/conferences)
⚙️ Core Responsibilities
- Game Economy Optimization
- Develop ML models to enhance in-game monetization and retention
- Build recommender systems for personalized player experiences
- Full Model Lifecycle Ownership
- Design → Validate → Deploy → Monitor models in production
- Create CI/CD pipelines using Docker/Git/AWS Fargate
- Cross-Functional Leadership
- Consult game designers on ML implementation strategies
- Collaborate with Data Engineers on feature store development
- Knowledge Sharing
- Document ML frameworks for company-wide adoption
- Conduct workshops on DL best practices
🔍 Technical Requirements
Non-Negotiables
- Degree in Physics/Math/CS/Economics
- 2+ years production ML experience (Python)
- Expertise in:
- Model development (classification/regression/clustering)
- Recommender systems
- AWS services (S3, EC2, IAM)
- Docker/Git proficiency
- Intermediate+ English
Preferred Skills
- PyTorch/TensorFlow implementation
- AutoGluon for time-series forecasting
- Game industry experience
- Kaggle competitions portfolio
🎮 G5 Games Perks Package
Flexibility First
- Fully remote with async workflows
- Core hours: 10 AM-2 PM CET (flexible outside)
Financial Growth
- Base salary + performance bonuses
- Stock value profit-sharing
Learning Investment
- $5K/year education budget
- Internal AI masterclasses
- English/language course reimbursement
Wellbeing & Community
- Global health insurance
- $600/year fitness reimbursement
- Virtual game jams with studios
Relocation Support
- Visa sponsorship + relocation bonuses
- Family legalization assistance
🛠️ Your Remote Tech Kit
| Resource | Specs |
|---|---|
| Hardware | M1 MacBook Pro + 32″ 4K monitor |
| AWS Credits | $10K/year for experimentation |
| Software | Full JetBrains suite + Tableau license |
| Connectivity | $120/month internet stipend |
| Learning | Free O’Reilly + DeepLearning.AI access |
🌐 Sample Projects You’ll Build
- Dynamic Pricing Engine
- RL models for in-game item pricing optimization
- Churn Prediction System
- XGBoost classifiers identifying at-risk players
- Content Recommender
- NLP-powered quest suggestions in Hidden City®
- Cheat Detection
- Anomaly detection for fair gameplay
📝 Application Process
- Prepare:
- Update resume highlighting production ML deployments
- Prepare 1-page case study of a recommender system
- Apply: G5 Careers Portal
- Technical Evaluation:DiagramCodeDownloadCode ChallengeML System Design InterviewAWS Architecture ReviewTeam Culture Fit
⏳ Response within 7 days | Global hiring
❓ Remote Work FAQs
Q: What’s the team distribution?
A: 15 ML engineers across 8 time zones (daily standups at 1 PM CET)
Q: How are production models monitored?
A: Evidently AI + SageMaker Model Monitor + custom dashboards
Q: Are gaming industry newcomers considered?
A: Yes! 40% of our team came from non-gaming sectors
Q: What’s the career progression?
A: IC path: ML Engineer → Senior → Principal → AI Architect
🚀 Shape the Future of Gaming AI
At G5, you’ll deploy models that:
- Power personalized experiences for 250M+ players
- Optimized Jewels of Rome® revenue by 31% through ML
- Won “Best AI Implementation” at Mobile Gaming Awards 2024
Apply Now: Remote ML Engineer Application