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Software Engineer, Machine Learning

Niantic

Saas

501-1000

San Francisco, CA, USA

About the job

Overview:

Niantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale models. Your work will directly help grow the features in our games as well as the capabilities of our technology platforms.
Niantic Engineering leads the advancement of AR and other immersive technologies while creating engaging apps for a user base in the billions.
Responsibilities

Implement and maintain scalable infrastructure solutions to support 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.
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.

Qualifications

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.
2+ years of experience in designing, building, and optimizing distributed systems or cloud-based infrastructure.
Strong proficiency in programming languages such as Python, Java, or Go, 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.

Plus If...

You have experience developing and maintaining machine learning platforms.
You have experience with machine learning/AI in a cloud native environment.
You have experience in Generative AI infrastructure.
You have experience with DevOps practices, continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure as code (IaC) tools (e.g., Terraform, Ansible) is a plus.
You have strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
You have experience mentoring others.
You have experience delivering solutions of high technical complexity and depth at the domain level.