Machine Learning Engineering Director

hace 5 días


Barcelona, Barcelona, España Scopely A tiempo completo

About Us
Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as Star Trek Fleet Command, Marvel Strike Force, and Yahtzee With Buddies. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform, Playgami, that supports one of the most diversified portfolios in the games industry.

Job Description
We are seeking an experienced Senior Machine Learning Engineer to join our LiveOps Automation team in Spain on a hybrid or remote basis. As a key member of our team, you will contribute to technical plans, discussing areas of opportunity and requirements with stakeholders. You will define the team's roadmap and vision for ML within the Mid-Core division, serving as a role model for less experienced team members. Your expertise will be invaluable in validating data science prototypes with stakeholders and transforming them into production-usable ML models. Additionally, you will build and maintain cloud-native infrastructure for hyperscale ML models training and serving, working with other developers to implement tools that empower our Live Operators and Game Design teams to create new and exciting game-play experiences. You will also provide support & troubleshooting for LiveOps Automation toolsuite.

Requirements
A deep understanding of ML technologies development and best practices is essential. Highly experienced delivering production quality, highly performant ML platforms is a must. Experience with machine Learning Frameworks (PyTorch, MXNet, Tensorflow, etc.) and model serving frameworks (Seldon Core, TorchServe, TensorFlow Serving, etc.) is required. Very strong coding ability, and experience in development in at least one mainstream programming language (Python, Java, C++ etc.) and with at least one major public cloud provider (AWS / Azure / GCP) is necessary. Experience writing and maintaining automated unit, integration, and end-to-end tests is a plus. Bonus points for experience building, managing, and maintaining MLOps platforms, Amazon Redshift, Google BigQuery, or Azure SQL Data Warehouse, building recommendation systems, and mentoring less experienced team members.

Compensation
We offer a competitive salary range of €100,000 - €150,000 per year, depending on experience. This estimate may vary based on factors such as location and qualifications.



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