Research Software Engineer, Computer Vision

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with Computer Vision (image classification and processing, object detection, visual search), video generation, or signal processing; and experience designing Computer Vision systems.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
• Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).

Nice to haves:

• Master's degree or PhD in Computer Science or related technical field.
• Experience working in an industry or academic research lab, focusing on multiple aspects of the "research to product" pipeline, particularly model optimization and efficiency improvements.
• Familiarity with generative AI techniques, such as image diffusion models, and their application to visual enhancement.
• Strong background in 3D computer vision and deep learning, with specific, proven expertise in Gaussian Splatting (3DGS), Neural Radiance Fields (NeRF), and 3D scene reconstruction.

What you'll be doing:

• Develop innovative computer vision and machine learning technology focused on 3D reconstruction, pose estimation, and novel view synthesis for XR applications.
• Drive the research, development, and optimization of 3D scene representation pipelines (such as Gaussian Splatting and Neural Representations), including improving model efficiency, training stability, and visual fidelity for large-scale scenes.
• Establish and maintain relationships with main stakeholders and keep recurring updates on the advancements of the project, making sure that their expectations are aligned to the research and engineering work.

Perks and benefits:

• Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
• Google is proud to be an equal opportunity and affirmative action employer.
• Global collaboration and communication facilitated through English proficiency requirement for all roles.
• Equity granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.