Software Engineer III, AI/ML Computer Vision, Google Cloud AI

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Android, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Automation Engineering, Best Practices, C++ Programming Language, Cloud Computing, Cloud Storage, Code Reviews, Computer Science, Computer Skills, Computer Vision, Consumer Packaged Goods, Customer Service Management, Customer/Client Research, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Documentation, English Language, Equal Employment Opportunity (EEO), Facilities Management, Field Sales, Finance, Financial Services, Genetics, Healthcare, Image Processing, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Japanese Language, Large-Scale Systems, Leadership, Manufacturing, Natural Language Processing (NLP), Network Administration/Management, Network Design, Network Operations Center, Product Management, Product Programs, Product Support, Project/Program Management, Python Programming/Scripting Language, Quality Engineering, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Retail, Sales, Sales Management, Signal Processing, Software Engineering, Stock Purchase Plans, Structural Engineering, Style Guide, Technical Consulting, Technical Leadership, Testability, User Interface Design
LOCATION
Sunnyvale, CA
POSTED
14 days ago

Software Engineer III, AI/ML Computer Vision, Google Cloud AI - Google Careers

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Software Engineer III, AI/ML Computer Vision, Google Cloud AI

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 2 years of experience programming in Python or C++.

  • 1 year of experience with Computer Vision (image classification and processing, object detection, visual search), video generation, or signal processing.

  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Master"s degree or PhD in Computer Science or related technical fields.

  • 2 years of experience with data structures or algorithms.

  • Experience developing accessible technologies.

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.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Write product or system development code.

  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)

  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

  • 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.

  • Implement computer vision solutions, utilize ML infrastructure, and contribute to model optimization and data processing.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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