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Software Engineer III, Computer Vision, Pixel Camera

Software Engineer III, Computer Vision, Pixel Camera

8 Hours ago • 2 Years + • Artificial Intelligence

About the job

Summary

The Software Engineer III role within Google's Pixel Camera team focuses on developing sustainable AI/ML methods for on-device autofocus. Responsibilities include developing and deploying server-side models (CNNs, transformers), exploring Generative AI applications (auto-labeling), building data evaluation pipelines, optimizing models for on-device deployment, and creating robust evaluation plans. The role requires close collaboration with cross-functional teams, leveraging partner teams for integration and optimization, and effectively communicating results to diverse audiences. The ideal candidate will have experience in computer vision, machine learning, and proficiency in Python and C++ along with experience in developing and deploying machine learning models.

11 skills required for this role

Test your skills to join the top 1% applicants for this job

tensorflow

cpp

algorithms

computer-vision

data-structures

python

pytorch

communication

innovation

networking

cross-functional

Must have:

Bachelor's degree in CS or equivalent
2+ years Python & C++ experience
2+ years experience in Computer Vision/ML
Object-oriented programming expertise
Develop and deploy AI/ML models
Model optimization for on-device deployment

Good to have:

Android app/framework development
TensorFlow, PyTorch, or JAX proficiency
Excellent communication & collaboration skills

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Minimum qualifications:

Bachelor's degree in Computer Science, or equivalent related practical experience.
2 years of experience with Python and C++.
2 years of experience with object-oriented programming, data structures, and algorithms in an academic or industry setting.
2 years of experience in computer vision and machine learning, or research achievements in the field of computational photography (e.g., product ownership, publications).

Preferred qualifications:

Experience with Android app or framework development.
Proficiency in TensorFlow, PyTorch, or JAX.
Proficiency in Python and C++.
Excellent communication and collaborative skills.

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.

Pixel Camera team aspires to deliver the world's best mobile camera and camera experiences through software innovation. It has consistently landed huge, publicly visible impact by pushing the limit of mobile photography and videography with each year's Pixel smartphone launches.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

Develop and sustainable AI/ML methods to solve key problems in autofocus for on-device applications, such as detection, segmentation, tracking, depth estimation, and saliency.
Train and deploy server-side models (e.g., convolutional neural network, transformers, etc.) for distillation and evaluation. Explore Generative AI use cases, such as auto-labeling.
Build data and evaluate pipelines for novel machine learning problems. Optimize and integrate machine learning models for on-device deployment. Create and execute end-to-end evaluation plan to ensure quality and robustness.
Work closely with cross-functional teams on machine learning problems. Leverage and drive partner teams for integration, testing, and optimization. Communicate plans, progress, and results effectively for an audience with or without machine learning background.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.