Senior Software Engineer, Machine Learning

Join Niantic as a Senior Software Engineer in Machine Learning

Niantic’s Engineering Team is seeking a passionate Software Engineer to enhance Niantic Products through the use of generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms by productionizing large-scale models. Your work will directly contribute to the growth of features in our games and the capabilities of our technology platforms.

Responsibilities

• Implement and maintain scalable infrastructure solutions for the deployment of generative AI models.
• 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 AI infrastructure components.
• Collaborate with cross-functional teams to understand requirements and design infrastructure solutions that meet business objectives.
• Stay up-to-date with the latest advancements in AI infrastructure technologies and best practices, and evaluate their applicability to the organization's needs.
• 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 AI infrastructure, working closely with stakeholders to identify root causes and implement solutions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software development, with a strong understanding of data structures and algorithms.
• 2+ years of experience in designing, building, and optimizing distributed systems or cloud-based infrastructure.
• Strong proficiency in programming languages such as Python, JavaScript, and C++ with experience in developing production-quality code.
• Ability to work in a fast-paced hybrid environment and handle stress appropriately.
• Experience working on cross-functional teams with effective communication skills.

Preferred Qualifications

• Experience developing and maintaining machine learning platforms.
• Experience with machine learning/AI in a cloud-native environment.
• Experience in Generative AI infrastructure.
• Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) tools such as Terraform and Ansible.

Why Niantic?

Niantic's global-scale augmented reality platform and digital map power spatial computing experiences in the real world. We believe in cultivating a workplace where our people are supported and included, which is essential to creating great products our community will love. Join us in our mission to use emerging augmented reality (AR) technology to enrich our experiences as human beings in the physical world.

Compensation

The total compensation package for this position includes a base salary range of $149,400 - $194,000, plus bonus, equity, and benefits. Individual pay within this salary range is determined by work location and additional factors, including assessed job-related skills, experience, and relevant education or training.

Location

This position is based in Palo Alto, California, and requires in-office presence 5 days a week.

Join the Niantic team and be part of a hard-working, fun, and exciting group that values intellectual curiosity and a passion for problem-solving!