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Salary: USD 165,131 - 180,946 / annual
Scopely, a leading video game and interactive entertainment company, is seeking a Software Engineer, Machine Learning to join its San Francisco team. The role focuses on building and maintaining scalable infrastructure for deploying AI and ML models across Scopely's portfolio of games including MONOPOLY GO!, Pokémon GO, Stumble Guys, and others.
Key responsibilities include:
- Implement and maintain scalable infrastructure solutions for AI/ML model deployment
- Work closely with ML scientists to develop engineering solutions integrating AI/ML models into products
- Develop automation tools and processes to streamline model evaluation and deployment workflows
- Optimize infrastructure performance for efficient resource utilization and minimal latency in model inference
- Implement and maintain monitoring and alerting systems for ML infrastructure reliability and availability
- Troubleshoot and resolve ML infrastructure issues, identifying root causes and implementing solutions
- Participate in cross-functional team meetings to understand requirements and design engineering solutions
- Engage in code reviews, design discussions, and architecture planning sessions to maintain high-quality software development standards
Telecommuting within the US is permitted pursuant to company policy.
Requirements:
- Master's degree or foreign equivalent in Computer Science, Computer Engineering, or related quantitative field
- Minimum 1 year of experience in the job offered, as a Software Developer, Software Engineer Intern, Applied Research Intern, Teaching Assistant, or related occupation
- Academic training and/or professional experience in: Python, Machine Learning, Generative AI, SQL, System programming, Cloud computing
