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Senior Software Engineer, GenAI and ML, Computational Photography

California, United States (On-site)

Senior Software Engineer, GenAI and ML, Computational Photography

1 Month ago • 8-13 Years • Artificial Intelligence

About the job

7 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

algorithms

computer-vision

deep-learning

data-structures

photorealism

networking

Job Description

As a Senior Software Engineer, GenAI and ML, Computational Photography, you will be responsible for designing Generative models for image quality, producing Generative merge for multi-camera fusion and video quality, utilizing fundamentals of photorealism and authenticity in Generative AI, capturing 3D assets with motion and depth to increase immersion, and capturing hardware (i.e., sensors and optics) with unique capabilities. You will also be working on projects critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.

Must have:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Experience in Generative AI (e.g., Large Language Models, Multi-Modal, Large Vision Models).
Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.

Good to have:

Master's degree or PhD in Computer Science or related technical field.
Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).
Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation.
Knowledge of modern deep learning techniques and Generative AI for photography.
Ability to contribute to research communities, including published papers in venues such as CVPR, SIGGRAPH, ECCV, ICCV, ICCP, NeurIPS, and UIST.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Experience in Generative AI (e.g., Large Language Models, Multi-Modal, Large Vision Models).
Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).
Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation.
Knowledge of modern deep learning techniques and Generative AI for photography.
Ability to contribute to research communities, including published papers in venues such as CVPR, SIGGRAPH, ECCV, ICCV, ICCP, NeurIPS, and UIST.

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.

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.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Design Generative models for image quality.
Produce Generative merge for multi-camera fusion and video quality.
Utilize fundamentals of photorealism and authenticity in Generative AI.
Capture 3D assets with motion and depth, to increase immersion.
Capture hardware (i.e., sensors and optics) with unique capabilities.

View Full Job Description

$189.0K - $284.0K/yr (Outscal est.)

$236.5K/yr avg.

Mountain View, California, United States

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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.