Requirements:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Experience in computer vision and machine learning.
Experience in Software Engineering, C++ or Python.

Nice to haves:

Design, develop, test, deploy, and maintain Machine Learning Operations (MLOps) pipelines and models that are integral to the SOLA team's mission.
Collaborate closely with researchers and other engineers to transition computer vision and large language model (LLM) research into scalable, production-ready systems.
Contribute to a culture of operational excellence, focusing on the reliability and scalability of AI systems, and promoting data-driven decision-making throughout the model life-cycle.
Write clean, maintainable, and well-tested code for technical problems, with an emphasis on model serving, monitoring, and infrastructure-as-code.
Manage individual project priorities, focusing on modeling and research-to-production transitions, while contributing to the team's collective goals and continuous learning.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
Opportunities to switch teams and projects as you and Google's fast-paced business grow and evolve.
Building the most accurate, comprehensive, and useful maps for users through products like Maps, Earth, Street View, and Google Maps Platform.
A culture of belonging and providing equal employment opportunity regardless of various factors.
Global collaboration and communication with English proficiency being a requirement for all roles unless stated otherwise.