Google
Senior Software Engineering Manager, AI/ML, Google Cloud AI
Google, Seattle, Washington, us, 98127
Senior Software Engineering Manager, AI/ML, Google Cloud AI
Senior Software Engineering Manager, AI/ML, Google Cloud AI
3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Seattle, WA, USA . Minimum qualifications:
Bachelor’s degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience working in a complex, matrixed organization.
About The Job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
The US base salary range for this full-time position is $248,000-$349,000 + 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
Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems. Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
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 . Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Sign in to set job alerts for “Senior Software Engineering Manager” roles.
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Senior Software Engineering Manager, AI/ML, Google Cloud AI
3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Seattle, WA, USA . Minimum qualifications:
Bachelor’s degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience working in a complex, matrixed organization.
About The Job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
The US base salary range for this full-time position is $248,000-$349,000 + 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
Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems. Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
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 . Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Sign in to set job alerts for “Senior Software Engineering Manager” roles.
Bellevue, WA $200,000.00-$250,000.00 2 days ago Senior Software Engineering Manager - Global E-commerce
Seattle, WA $244,530.00-$585,200.00 1 week ago Bellevue, WA $152,400.00-$280,900.00 1 week ago Bellevue, WA $132,000.00-$264,000.00 6 days ago Seattle, WA $300,000.00-$375,000.00 1 week ago Seattle, WA $172,800.00-$297,000.00 3 days ago Bellevue, WA $132,000.00-$264,000.00 1 week ago Seattle, WA $191,265.00-$267,771.00 1 week ago Senior Manager, Software Engineering - Operations Technology
Seattle, WA $191,265.00-$267,771.00 2 weeks ago Director, Engineering - Power and Performance Software
Redmond, WA $308,000.00-$557,750.00 1 week ago Seattle, WA $198,000.00-$346,500.00 2 days ago Seattle, WA $172,800.00-$297,000.00 1 day ago Seattle, WA $186,300.00-$269,075.00 4 days ago Seattle, WA $186,300.00-$269,075.00 2 weeks ago Director, Software Development Engineering
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Seattle, WA $198,100.00-$342,300.00 1 week ago Senior Manager, Software Engineering (Edge)
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Mercer Island, WA $160,000.00-$200,000.00 2 weeks ago Seattle, WA $160,000.00-$200,000.00 3 weeks ago Seattle, WA $186,300.00-$269,075.00 2 weeks ago Seattle, WA $186,300.00-$269,075.00 2 weeks ago Seattle, WA $177,000.00-$251,000.00 2 days ago Software Engineering Manager, Infrastructure
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Bellevue, WA $184,000.00-$276,100.00 3 days ago Engineering Manager - Global E-commerce Algorithms Architecture
Seattle, WA $198,360.00-$416,100.00 3 weeks ago Software Engineering Manager II, Google Cloud Business Platform
Seattle, WA $197,000.00-$291,000.00 2 weeks ago Seattle, WA $193,648.00-$355,680.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr