Principal Engineer, On Device Machine Learning Frameworks
Company: Google
Location: Sunnyvale
Posted on: May 16, 2023
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Job Description:
Principal Engineer, On Device Machine Learning Frameworks
Applications will be accepted through April 3, 2023.
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. Qualifications
Preferred qualifications:
About the job As the Principal Engineer, On Device Machine Learning
(ML) Frameworks, you will drive prioritization for core ML
infrastructure in mobile and other devices. You will work with
existing teams and products to select key opportunities for
creating mobile support, and help drive important projects to
completion by working across different functional units inside and
outside of Core ML and in close partnership with the Devices and
Services organization.You will help to create the next generation
of mobile machine learning frameworks and Build on the strong
foundation of Lite and Android to define a mobile machine learning
ecosystem.You will also roadmap to converge technology in mobile
and on device training and inference with technologies and
frameworks that support traditional data center applications.
The Core team builds the technical foundation behind Google's
flagship products. We are owners and advocates for the underlying
design elements, developer platforms, product components, and
infrastructure at Google. These are the essential building blocks
for excellent, safe, and coherent experiences for our users and
drive the pace of innovation for every developer. We look across
Google's products to build central solutions, break down technical
barriers and strengthen existing systems. As the Core team, we have
a mandate and a unique opportunity to impact important technical
decisions across the company.The US base salary range for this
full-time position is $271,000-$399,000 + 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 for new hire 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 benefits at Google .
Responsibilities
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 need that requires accommodation,
please let us know by completing our Accommodations for Applicants
form .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.At Google,
we're committed to building a workforce that is more representative
of the users we serve and creating a culture where everyone feels
like they belong. To learn more about our diversity, equity,
inclusion commitments and how we're building belonging, please
visit our Belonging page for more information.We welcome and
encourage people who are expecting and/or parents-to-be to apply to
this or any other role at Google.Google is a global company and, in
order to facilitate efficient collaboration and communication
globally, English proficiency is a requirement for all roles.
Keywords: Google, Sunnyvale , Principal Engineer, On Device Machine Learning Frameworks, Engineering , Sunnyvale, California
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