Scopely

Software Engineer, Machine Learning

US - San Francisco, California, United States·$165K–181K

Artificial Intelligence · Machine Learning

Software Engineer, Machine Learning (Scopely Explore Inc Inc, fka Niantic Inc.; San Francisco, CA):

Implement and maintain scalable infrastructure solutions for the deployment of Artificial Intelligence (AI) and

Machine Learning (ML) models. Work closely with ML scientists to develop engineering solutions to integrate

AI and ML models into products. Develop automation tools and processes to streamline model evaluation and

deployment workflows. Optimize infrastructure performance to ensure efficient resource utilization and

minimize latency in model inference. Implement and maintain monitoring and alerting systems to ensure the

reliability and availability of ML infrastructure components. Troubleshoot and resolve issues related to ML

infrastructure, working closely with stakeholders to identify root causes and implement solutions. Regularly

participate in meetings with cross-functional teams to understand requirements and design engineering

solutions that meet product requirements. Participate in code reviews, design discussions, and architecture

planning sessions to maintain high-quality standards in software development practices. Telecommuting within

the US permitted pursuant to company policy.

Minimum requirements: Master’s degree or foreign equivalent in Computer Science, Computer Engineering,

or related quantitative field, plus One (1) year of experience in the Job offered, as a Software Developer,

Software Engineer Intern, Applied Research Intern, Teaching Assistant, or a related occupation.

Must possess academic training and/or experience in each of the following: Py

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