Google
Senior Software Engineer, Machine Learning, Messages
Google, Kirkland, Washington, United States, 98034
Senior Software Engineer, Machine Learning, Messages
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Senior Software Engineer, Machine Learning, Messages
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Google
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
San Jose, CA, USA; Kirkland, WA, USA .
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML algorithms, ML architecture, and ML infrastructure.
Experience using Python libraries and frameworks.
Preferred qualifications
5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience with distributed systems and architecture, and systems integration.
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.
In this role, you will be responsible for keeping users safe from phishing, malware, scams, and other unwanted interactions in our messaging products. You will partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate, and maintain abuse protections. You will also work with many teams across Google, external partners, and worldwide telecommunication carriers.
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 users’ 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 $166,000-$244,000 + 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.
Responsibilities
Work on improving and simplifying models through advanced Machine Learning (ML) techniques.
Serve as a trusted technical advisor to the team and solve ML issues.
Innovate and iterate on ML model design, improving quality, stability, and efficiency across the entire model lifecycle – from concept to deployment.
Solve ML-related problems by designing, running, and analyzing experiments using investigative and statistical methods.
Contribute to code health, automation, and alerting systems to ensure model stability and performance.
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 Mid‑Senior level
Employment type Full‑time
Job function Information Technology and Engineering
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Senior Software Engineer, Machine Learning, Messages
role at
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:
San Jose, CA, USA; Kirkland, WA, USA .
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML algorithms, ML architecture, and ML infrastructure.
Experience using Python libraries and frameworks.
Preferred qualifications
5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience with distributed systems and architecture, and systems integration.
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.
In this role, you will be responsible for keeping users safe from phishing, malware, scams, and other unwanted interactions in our messaging products. You will partner with product teams to identify potential abuse vectors ahead of new launches and establish, evaluate, and maintain abuse protections. You will also work with many teams across Google, external partners, and worldwide telecommunication carriers.
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 users’ 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 $166,000-$244,000 + 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.
Responsibilities
Work on improving and simplifying models through advanced Machine Learning (ML) techniques.
Serve as a trusted technical advisor to the team and solve ML issues.
Innovate and iterate on ML model design, improving quality, stability, and efficiency across the entire model lifecycle – from concept to deployment.
Solve ML-related problems by designing, running, and analyzing experiments using investigative and statistical methods.
Contribute to code health, automation, and alerting systems to ensure model stability and performance.
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 Mid‑Senior level
Employment type Full‑time
Job function Information Technology and Engineering
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