Research Scientist, Machine Learning and Neuroscience
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
- Coding experience in Python, JavaScript, R, Java, or C++.
- Machine Learning experience.
Preferred qualifications:
- 2 years of coding experience in Python, JavaScript, R, Java, or C++.
- 1 year of experience owning and initiating research agendas.
- Experience with automated algorithm discovery methods, learning to learn, or program synthesis.
- Experience with digital hardware or hardware intended for machine learning.
- Knowledge of computational neuroscience.
- Familiarity with non-gradient-based optimization techniques.
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.
To advance the field of artificial intelligence by exploring alternative computational paradigms beyond those currently trending. In particular, our team is interested in the discovery of learning algorithms for experimental, energy efficient hardware paradigms. We use both hand-design and automated discovery methods.
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.
Responsibilities
- Explore thoroughly into a project for an extended period of time.
- Design, execute, and interpret machine learning experiments, selecting appropriate algorithms, models, and evaluation metrics.
- Review literature, identify key questions, think creatively, iterate on experiments, and employ scientific accuracy.
- Be proficient in one or more modern programming languages (e.g., Python), learn new programming languages. Learn technologies such as large-scale computation methods, be experienced with one or more machine learning libraries (e.g., JAX or PyTorch).
- Write clear academic papers, give formal research talks, and have informal discussions with colleagues.
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.