Google
Overview
Mid-level Research Scientist at Google in Mountain View, CA, USA. Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Qualifications
PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience in generative AI training, Large Language Models and evaluation.
Publications in AI/ML conferences or journals, such as NeurIPS, ICML, ICLR, CVPR.
Preferred qualifications
1 year of experience owning and initiating research agendas.
Experience in healthcare research.
Responsibilities
Write research papers to share findings and demonstrate research impact across the team and research community.
Help in growing research business across teams by sharing research trends and practices within the community.
Develop prototypes or run simulations to assess research impact, finalize hypotheses and refine methodologies under guidance.
Build end-to-end health-focused AI models including pre-training and post-training.
Evaluate AI models on relevant clinical tasks using both automated and human-based assessments.
About Google Research Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
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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Qualifications
PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience in generative AI training, Large Language Models and evaluation.
Publications in AI/ML conferences or journals, such as NeurIPS, ICML, ICLR, CVPR.
Preferred qualifications
1 year of experience owning and initiating research agendas.
Experience in healthcare research.
Responsibilities
Write research papers to share findings and demonstrate research impact across the team and research community.
Help in growing research business across teams by sharing research trends and practices within the community.
Develop prototypes or run simulations to assess research impact, finalize hypotheses and refine methodologies under guidance.
Build end-to-end health-focused AI models including pre-training and post-training.
Evaluate AI models on relevant clinical tasks using both automated and human-based assessments.
About Google Research Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
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