Senior Software Engineer, Niantic Labs

• You have at least a Bachelor’s degree in Computer Science, Engineering, or a related field
• 4+ years of experience in software development, and with data structures/algorithms
• You have experience in designing, building, and optimizing machine learning systems or applications
• Strong proficiency in programming languages such as Python or Java, with experience in developing production-quality code
• Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice
• Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including synchronous interactions with others
• You have experience in building models to tackle real world challenges

Desirable

• Niantic’s Engineering Team seeks a Senior Software Engineer specialized in Machine Learning Engineering to build machine learning models and systems that create innovative user experiences with the emerging machine technologies
• Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale models
• Build and maintain scalable systems and applications to productionize machine learning models
• Develop automation tools and processes to streamline model training, evaluation and deployment workflows
• Optimize application 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 machine learning systems
• Collaborate with cross-functional teams to understand requirements and design machine learning solutions that meet business objectives
• Participate in code reviews, design discussions, and architecture planning sessions to maintain high-quality standards in software development practices
• Troubleshoot and resolve issues related to machine learning systems, working closely with stakeholders to identify root causes and implement solutions
• Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings
• Required in-office 2 days on Tuesday and Wednesday