Senior Machine Learning Engineer
Core
Deploy and operate low-latency, high-availability ML models as real-time, near-real-time, or batch prediction services for video game applications.
Role type
Senior Machine Learning Engineer (Production/ML Ops)
Builds
Production-grade decision services, ML-powered game features (recommenders, matchmaking, economy balancing), and GenAI/LLM solutions.
Domain
Video Games / Machine Learning
Deliverable
production ML models
Required skills
Python, ML algorithms (supervised/unsupervised/RL), PyTorch, TensorFlow, scikit-learn, Kubernetes, AWS/GCP/Azure, MLOps (CI/CD, model registry, feature stores), SQL/NoSQL, Apache Spark
Preferred skills
C/C++/Java/Rust, GenAI/LLM patterns (RAG, agentic workflows), Terraform, Kafka, Unreal/Unity engines
Technologies
PyTorch, TensorFlow, scikit-learn, Spark ML, Kubernetes, AWS, GCP, Azure, Airflow, Kubeflow, MLflow, Apache Spark, Databricks, Delta, Kafka, Kinesis
Responsibilities
Partner with scientists and devs to deploy ML models into live game products; own and mature MLOps practices (monitoring, drift detection, reproducibility); prototype ML-powered products; integrate ML applications on launch timelines; pilot GenAI/LLM use cases.
Seniority
Senior, hands-on IC with mentorship