May 23
🏢 In-office - Manhattan
Android
Electron
GCP
iOS
Java
Kotlin
Kubernetes
RabbitMQ
React
Redis
Redux
Scikit-Learn
Swift
Tensorflow
Terraform
• Embedding Medal's database of gaming clips for product enrichment • Enhancing video context through automated annotations and computer vision • Improving library and social search functionality • Contributing to ML recommendation system and video editor automation
• 4+ years of video machine-learning with a focus on image embedding and computer vision • Demonstrated experience in ML technologies such as TensorFlow, SciKit-Learn, CatBoost, and Hugging Face • Experience with A/B testing and user metrics • Passion for gaming and familiarity with gaming communities • Strong code performance understanding
• Be part of a team impacting millions of users worldwide • Opportunity to work with cutting-edge ML technologies • Collaborative and dynamic work environment • Competitive compensation package
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