Software Engineer III, Full Stack, Android Learning
San Jose, CA$141,000 - $202,000 a yearFull Time
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Job Description
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
2 years of experience with full stack development, across back-end such as Java, Kotlin.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Ability to demonstrate a successful and proven track record on at least a few machine learning related projects.
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 manage information at a 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 empower Dialer's goal through responsible on-device AI innovation and platform infrastructure, enabling all teams to deliver exceptional and protected calling experiences.
You will contribute to building the world's leading on-device AI platform for calling, enabling seamless integration and powerful experiences across Dialer.
You will be powering intelligence of android calling features, including scam detection, a Gemini-nano based feature announced in 2024 Google I/O, on the path to launch, and our team is doing end-to-end model development (including LoRA fine-tuning) https://security.googleblog.com/2024/11/new-real-time-protections-on-Android.HTML and next-generation call screening, announced in Made By Google 2023 on Oct (https://www.YouTube.com/live/pxlaUCJZ27E?feature=shared&t=1871).The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google.
Responsibilities
Design, develop, and launch infrastructure (full-stack) supporting fast protection AI feature development in the android ecosystem.
Enhance and deploy existing calling protection AI features across the broader android ecosystem.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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.
Bachelor’s degree or equivalent practical experience.
2 years of experience with full stack development, across back-end such as Java, Kotlin.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Ability to demonstrate a successful and proven track record on at least a few machine learning related projects.
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 manage information at a 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 empower Dialer's goal through responsible on-device AI innovation and platform infrastructure, enabling all teams to deliver exceptional and protected calling experiences.
You will contribute to building the world's leading on-device AI platform for calling, enabling seamless integration and powerful experiences across Dialer.
You will be powering intelligence of android calling features, including scam detection, a Gemini-nano based feature announced in 2024 Google I/O, on the path to launch, and our team is doing end-to-end model development (including LoRA fine-tuning) https://security.googleblog.com/2024/11/new-real-time-protections-on-Android.HTML and next-generation call screening, announced in Made By Google 2023 on Oct (https://www.YouTube.com/live/pxlaUCJZ27E?feature=shared&t=1871).The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google.
Responsibilities
Design, develop, and launch infrastructure (full-stack) supporting fast protection AI feature development in the android ecosystem.
Enhance and deploy existing calling protection AI features across the broader android ecosystem.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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.