Research Scientist, Google Research, GenAI, Experiences

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Alliance/Partner Management, Analysis Skills, Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Channel Strategies, Cloud Computing, Computer Science, Computer Vision, Conferences, Consulting, Data Analysis, Data Mining, Deep Learning, Delivery Management, Develop Methodologies, Engineering Management, English Language, Equal Employment Opportunity (EEO), Field Sales, Financial Services, Game Software, Genetics, Independent Software Vendor (ISV), Internet Security, Internet of Things, JAX (Java API for XML), Japanese Language, Machine Learning, Market Research, Modeling Languages, Natural Language Processing (NLP), Operations Security (OPSEC), Performance Analysis, Performance Management, Process Improvement, Product Development, Project/Program Management, Prototyping, Public Affairs, Python Programming/Scripting Language, Quality Management, Quality Metrics, Quantitative Research, Recruiting/Staffing Agency, Regulatory Requirements, Research Skills, Sales, Sales Management, Scientific Publications, Scientific Research, Software Development, Software Engineering, State Laws and Regulations, Statistics, System Architecture, Systems Maintenance, Technical Leadership, Technical Support, Time Management, Training Data Sets, User Interface/Experience (UI/UX), Vietnamese Language
LOCATION
Mountain View, CA
POSTED
4 days ago

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Research Scientist, Google Research, GenAI, Experiences

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corporate_fareGoogleplaceMountain View, CA, USA; Kirkland, WA, USA; +3 more; +2 more

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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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XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA; Seattle, WA, USA; San Francisco, CA, USA.

Minimum qualifications:

  • PhD degree in Computer Science, a related field, or equivalent practical experience.

  • Experience with one or more of the following (e.g., computer vision, machine learning, natural language processing.

  • Experience with software development in Python.

  • One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

  • 2 years of experience in coding.
  • 1 year of experience owning and initiating research agendas.
  • Experience with jax/pytorch, Python, and building/launching ML models and applied ML skills (e.g., Large Language Models (LLMs), Natural Language Processing (NLP)).
  • Experience with quantitative research or investigative abilities for data analysis.
  • Experience with Google infrastructure such as flume.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you"ll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

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.

The US base salary range for this full-time position is $147,000-$211,000 + 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

  • Design, implement, and evaluate advanced ML models utilizing large-scale datasets to analyze and predict human preferences and behavior.
  • Architect and maintain systems for model training and high-performance serving.
  • Perform statistical analyses on large-scale data to uncover patterns and derive actionable insights for product development.
  • Publish original research in venues, contributing novel methodologies to the fields of machine learning, and natural language processing.
  • Collaborate effectively with partners to integrate ML models driving measurable improvements in quality and user experience.

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.

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