Google Inc.
Overview
Mid experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply: the candidate may share preferred working location from: New York, NY, USA; Atlanta, GA, USA; Mountain View, CA, USA; London, UK. Qualifications
Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, Go). 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications
Master\'s degree or PhD in Computer Science or a related technical field. Publications in top machine learning conferences such as NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM. Experience in machine learning methods including foundation models and Large Language Models (LLMs). Experience in Flume C++, including familiarity with some of the low level details of Flume. Knowledge of Google Infrastructure, including Borg and CNS. About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. For United States Applicants: 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. 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
Improve the scalability and reliability of the pipelines on the critical path of Gemini pre-training. Develop new techniques to identify near duplicate data. Research new methods of data curation. Serve as Gemini Data Captain or captain new large scale Gemini training runs. 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. 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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Mid experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply: the candidate may share preferred working location from: New York, NY, USA; Atlanta, GA, USA; Mountain View, CA, USA; London, UK. Qualifications
Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, Go). 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications
Master\'s degree or PhD in Computer Science or a related technical field. Publications in top machine learning conferences such as NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM. Experience in machine learning methods including foundation models and Large Language Models (LLMs). Experience in Flume C++, including familiarity with some of the low level details of Flume. Knowledge of Google Infrastructure, including Borg and CNS. About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. For United States Applicants: 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. 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
Improve the scalability and reliability of the pipelines on the critical path of Gemini pre-training. Develop new techniques to identify near duplicate data. Research new methods of data curation. Serve as Gemini Data Captain or captain new large scale Gemini training runs. 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. 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.
#J-18808-Ljbffr