Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
2 years of experience in Software Engineering, C++ or Python.
Experience in machine learning and computer vision.
Experience with JAX-RS.
Preferred qualifications:
PhD degree in a relevant field.
Publications in ML/CV conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV).
Experienced in modeling, using Pytorch or JAX frameworks.
Experience in one or more of the following specialized areas: Fusing asynchronous, multi-rate, and heterogeneous quality sensor data. Advanced techniques in multimodal LLMs (e.g., novel attention, MoE). Applying Graph Neural Networks or Transformers to large-scale, real-world graph datasets. Bayesian Deep Learning, probabilistic modeling, and uncertainty quantification. Deep data analysis and augmentation strategies for sensor datasets. Advanced multi-modal, self-supervised pre-training tasks or experience with diffusion decoders.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
Responsibilities
Research, design, implement, train, and evaluate large-scale deep learning models for spatial understanding, focusing on multimodal sensor fusion.
Develop and apply state-of-the-art machine learning techniques, including transformers, graph neural networks, self-supervised learning, and generative AI.
Analyze and process large, complex, real-world sensor datasets (e.g., StreetView and overhead imagery, lidar, navigation traces), including identifying and mitigating biases.
Collaborate with other engineers and researchers to integrate models into Google Maps' production systems.
Contribute to the team's research directions and a culture of innovation. Communicate findings and results to technical and non-technical audiences.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .