Senior Machine Learning Engineer – Esports
GRID esports
full-time
Posted on:
Location Type: Remote
Location: Poland
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Job Level
Tech Stack
About the role
- Convert existing model training code into reproducible, automated pipelines (experiment tracking, model versioning, automated retraining), following ML best practices
- Work on algorithms and probabilistic market-derivation logic that powers our live predictions
- Define evaluation metrics, build backtesting frameworks, and monitor model performance in production
- Serve models via a Python microservices stack
- Work with the product team to define new betting markets and the statistical models that support them
Requirements
- 5+ years of professional experience in ML engineering or applied data science
- Experience developing production-grade ML pipelines and are familiar with workflow orchestration, experiment tracking and CI/CD for ML
- Knowledge of object-oriented programming, using vector operations for optimized performance, and a deep understanding of memory management
- A strong grasp of probability and statistics
Benefits
- Flexible working conditions
- Mental health support
- Company and team-wide events
- Work travel opportunities with travel insurance
- Training and development budget
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning engineeringautomated pipelinesexperiment trackingmodel versioningautomated retrainingproduction-grade ML pipelinesworkflow orchestrationCI/CD for MLobject-oriented programmingprobability and statistics