About this opportunity
Google lists this Machine Learning Staff Software Engineer, Pixel Camera opportunity in montana, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Machine Learning Staff Software Engineer, Pixel Camera
Location: Mountain View, CA, USA
Experience Level: Advanced
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience with software design and architecture.
Experience with C, C++, machine learning, and embedded systems.
Experience with machine learning algorithms.
Experience with machine learning architecture.
Experience with machine learning research.
Preferred qualifications
Master's degree or PhD in Engineering, Computer Science, or a related technical field.
Experience taking machine learning models from research prototype to production on mobile or embedded devices, and owning them after launch.
Experience optimizing models for on-device accelerators through quantization, hardware-aware architecture design, or custom kernels.
Experience building and training models in JAX/TensorFlow.
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.
Compensation Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits.
Learn more about benefits at Google.
Responsibilities
Design and implement the real-time on-device machine learning foundation that turns raw camera and sensor input into structured signals driving immediate application behavior.
Drive the optimization of outlook models for NPU, GPU, and DSP execution, including quantization, hardware-aware architecture design, and custom kernel development, in partnership with the Tensor silicon and compiler teams.
Own models end-to-end, from prototype through deployment on hundreds of millions of devices - training pipelines in JAX and TensorFlow, C++ integration into the camera pipeline, and long-term maintainability.
Partner with product, UX, software, and hardware teams to define the requirements for next-generation interactive features, and translate roadmap goals into designs achievable within device constraints.
Establish best practices for machine learning development, deployment, and evaluation. Define how model quality is measured; and contribute to the long-term technology roadmap.
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. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Locations: Mountain View, CA, USA
Experience Level: Advanced
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.