Niantic is hiring a
Software Engineer, Machine Learning

Summary

The job is for a Machine Learning Engineer to work on implementing and maintaining scalable infrastructure solutions for generative AI models, developing automation tools, optimizing performance, and collaborating with cross-functional teams. The role requires at least a Bachelor's degree in Computer Science or related field, 4+ years of software development experience, and 2+ years of experience in designing, building, and optimizing distributed systems or cloud-based infrastructure.

Requirements

• 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, Javascript, and C++ 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

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
• Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings

Preferred Qualifications

• 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

Benefits

• The total compensation package for this position includes a new hire offer base salary range of $149,400 - $194,000 + bonus + equity + 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