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AI Software Engineering Manager, AI Platform Empowering X

at Alphabet

Back to all Data Science / AI / ML jobs
A
Industry not specified

AI Software Engineering Manager, AI Platform Empowering X

at Alphabet

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 6 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Lead and grow the AI Platform Empowering X (APEX) team at Google, overseeing ML lifecycle, data strategies, model training and on-device optimization for Android/Pixel. You will design tools and pipelines for model evaluation, quality and performance, mentor engineers, and collaborate with cross-functional teams to align priorities and roadmaps. This role emphasizes leadership, strategic decision-making, and delivering high-quality AI-powered features in resource-constrained mobile environments.

AI Software Engineering Manager, AI Platform Empowering X

  • Copy link
  • Email a friend
GoogleNew Taipei, Banqiao District, New Taipei City, Taiwan
Advanced
  • Copy link
  • Email a friend
Google welcomes people with disabilities.

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
  • Experience with AI Platform and Machine Learning Infrastructure establishing standards and quality metrics.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a structured organization.
  • Experience in one or more of the following areas: on-device machine learning, mobile algorithms, LLM/GenAI evaluations, data collection for ML, and Android development.
  • Experience in AI toolchain, evaluation metrics design, and data management techniques.
  • Experience with implementing compute-heavy algorithms on mobile systems.
  • Experience launching one or multiple AI/ML-powered user-facing products.

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.

AI Platform Empowering X (APEX) team's mission is to accelerate and ensure the quality of the Artificial Intelligence (AI) development lifecycle for Android and Pixel.

In this role, you will build the stack for scaling the organization's Machine Learning (ML) needs, which include data strategies, model training, and evaluation techniques, incorporating human feedback for ML quality, on-device optimization, feature development, and quality experiments.
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.

Responsibilities

  • Grow the local team experience and projects, and mentor the team and remove bottlenecks.
  • Interface with cross-functional and remote teams, engineering managers, and stakeholders to influence cross-team priority and roadmap.
  • Design tools/platforms/frameworks to enhance intelligent applications development, with focus on model evaluation, quality, and performance on Pixel and Android in a safe manner.
  • Craft evaluation datasets, metrics, and pipelines to understand, evaluate and optimize the behavior of the models, platform and algorithms.
  • Support a multitude of user-facing features that rely on the quality and performance of these algorithms, as running on compute-constrained embedded systems.

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.

AI Software Engineering Manager, AI Platform Empowering X

at Alphabet

Back to all Data Science / AI / ML jobs
A
Industry not specified

AI Software Engineering Manager, AI Platform Empowering X

at Alphabet

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 6 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Lead and grow the AI Platform Empowering X (APEX) team at Google, overseeing ML lifecycle, data strategies, model training and on-device optimization for Android/Pixel. You will design tools and pipelines for model evaluation, quality and performance, mentor engineers, and collaborate with cross-functional teams to align priorities and roadmaps. This role emphasizes leadership, strategic decision-making, and delivering high-quality AI-powered features in resource-constrained mobile environments.

AI Software Engineering Manager, AI Platform Empowering X

  • Copy link
  • Email a friend
GoogleNew Taipei, Banqiao District, New Taipei City, Taiwan
Advanced
  • Copy link
  • Email a friend
Google welcomes people with disabilities.

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
  • Experience with AI Platform and Machine Learning Infrastructure establishing standards and quality metrics.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a structured organization.
  • Experience in one or more of the following areas: on-device machine learning, mobile algorithms, LLM/GenAI evaluations, data collection for ML, and Android development.
  • Experience in AI toolchain, evaluation metrics design, and data management techniques.
  • Experience with implementing compute-heavy algorithms on mobile systems.
  • Experience launching one or multiple AI/ML-powered user-facing products.

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.

AI Platform Empowering X (APEX) team's mission is to accelerate and ensure the quality of the Artificial Intelligence (AI) development lifecycle for Android and Pixel.

In this role, you will build the stack for scaling the organization's Machine Learning (ML) needs, which include data strategies, model training, and evaluation techniques, incorporating human feedback for ML quality, on-device optimization, feature development, and quality experiments.
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.

Responsibilities

  • Grow the local team experience and projects, and mentor the team and remove bottlenecks.
  • Interface with cross-functional and remote teams, engineering managers, and stakeholders to influence cross-team priority and roadmap.
  • Design tools/platforms/frameworks to enhance intelligent applications development, with focus on model evaluation, quality, and performance on Pixel and Android in a safe manner.
  • Craft evaluation datasets, metrics, and pipelines to understand, evaluate and optimize the behavior of the models, platform and algorithms.
  • Support a multitude of user-facing features that rely on the quality and performance of these algorithms, as running on compute-constrained embedded systems.

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.

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