4 hours ago
Base Salary
$165k - $181k/yr
Responsibilities
- Implement and maintain scalable infrastructure for AI and ML model deployment.
- Work with ML scientists to develop engineering solutions that integrate AI and ML models into products.
- Develop automation tools and processes for model evaluation and deployment workflows.
- Optimize infrastructure performance, resource utilization, and model inference latency.
- Implement and maintain monitoring and alerting systems for ML infrastructure reliability and availability.
- Troubleshoot ML infrastructure issues and identify root causes with stakeholders.
- Collaborate with cross-functional teams to understand requirements and design solutions.
- Participate in code reviews, design discussions, and architecture planning sessions.
Requirements
- Master’s degree or foreign equivalent in Computer Science, Computer Engineering, or a related quantitative field.
- At least one year of experience in the offered role or as a Software Developer, Software Engineer Intern, Applied Research Intern, Teaching Assistant, or related occupation.
- Academic training and/or experience with Python, Machine Learning, Generative AI, SQL, system programming, and cloud computing.
Benefits
- Telecommuting within the US is permitted pursuant to company policy.
- Benefits include healthcare, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off.
- Employees may be eligible for equity and bonuses.
Categories
About Scopely
Scopely develops, publishes, and live-operates free-to-play games across mobile, PC, and console, including MONOPOLY GO!, Stumble Guys, Star Trek Fleet Command, MARVEL Strike Force, WWE Champions, and Yahtzee With Buddies. Founded in 2011 and headquartered in Culver City, California, it uses its Playgami technology platform and collaborates with studios worldwide. In 2023, Scopely was acquired by Savvy Games Group and continues to operate as an independent subsidiary.