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- Tasks: Conduct cutting-edge research in AI and machine learning, designing experiments and publishing findings.
- Company: Join Google, a leader in tech innovation and research, shaping the future of technology.
- Benefits: Enjoy a full-time role with opportunities for remote work and collaboration with global experts.
- Why this job: Be part of a team exploring new AI paradigms, making a real-world impact through your research.
- Qualifications: PhD in Computer Science or related field, with publications in top-tier conferences preferred.
- Other info: Google values diversity and is committed to equal opportunity for all applicants.
The predicted salary is between 48000 - 72000 £ per year.
Research Scientist, Paradigms of Intelligence
Join to apply for the Research Scientist, Paradigms of Intelligence role at Google
Research Scientist, Paradigms of Intelligence
Join to apply for the Research Scientist, Paradigms of Intelligence role at Google
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- One or more scientific publications in top-tier conferences or journals.
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- One or more scientific publications in top-tier conferences or journals.
Preferred qualifications:
- First-authored publications in the fields of machine learning (e.g. ICLR, ICML, NeurIPS) or programming languages theory (e.g. PLDI, ICFP).
- Experience in the field of machine learning.
- Experience in the field of programming languages (e.g. lambda calculus, type theory, combinatory logic).
- Experience in the field of automated code discovery (LLM-based, AutoML, evolutionary, or meta-learning-based).
- Post-doctoral research experience.
- Excellent computer programming skills.
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.
The team you\’ll be joining conducts basic research into alternative computational AI paradigms beyond those currently trending. We aim to deepen our understanding of how complexity emerges in differentiable/non-differentiable automated algorithm discovery methods. These methods automatically produce computer code that solves given tasks, which are often represented as a collection of data examples. We are particularly interested in finding solutions that exhibit compositionality, hierarchical structures, and component reuse. In your role, you’ll research, develop, and publish findings on novel code representations for discovering such algorithms.
Responsibilities
- Carry out sustained exploratory research.
- Review literature, identify key questions, design experiments, and interpret results.
- Collaborate in person and remotely; maintain a respectful work environment.
- Share ideas verbally and in writing; publish and present work at journals or scientific conferences.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology and Engineering
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Industries
Information Services and Technology, Information and Internet
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Research Scientist, Paradigms of Intelligence employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Paradigms of Intelligence
✨Tip Number 1
Network with professionals in the field of machine learning and programming languages. Attend conferences like NeurIPS or ICML where you can meet researchers and potentially get insights into unpublished opportunities at Google.
✨Tip Number 2
Engage actively in online forums and communities related to AI and machine learning. Platforms like GitHub or ResearchGate can help you showcase your work and connect with others who might refer you to openings at Google.
✨Tip Number 3
Consider collaborating on research projects that align with Google's interests, especially those focusing on automated code discovery. This could lead to co-authored publications, enhancing your visibility in the research community.
✨Tip Number 4
Stay updated with the latest advancements in AI and machine learning by following relevant journals and publications. This knowledge will not only prepare you for interviews but also demonstrate your passion and commitment to the field.
We think you need these skills to ace Research Scientist, Paradigms of Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in Computer Science or related fields, along with any relevant publications. Emphasise your experience in machine learning and programming languages, as these are key qualifications for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for research and how your background aligns with Google's focus on alternative computational AI paradigms. Mention specific projects or experiences that demonstrate your ability to conduct exploratory research and collaborate effectively.
Highlight Relevant Publications: List your scientific publications prominently, especially those in top-tier conferences like ICLR, ICML, or NeurIPS. If you have first-authored papers, make sure to highlight them, as they showcase your leadership in research.
Showcase Programming Skills: Detail your computer programming skills in your application. Include specific programming languages and technologies you are proficient in, particularly those relevant to automated code discovery and machine learning.
How to prepare for a job interview at Google
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any publications, especially those where you were the first author, and explain how they relate to the role at Google.
✨Demonstrate Technical Proficiency
Since the role requires excellent programming skills, be ready to discuss your experience with relevant programming languages and tools. Consider bringing examples of your work or code snippets that showcase your abilities.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, particularly in machine learning and programming languages. Practice explaining your thought process clearly and logically when tackling complex problems.
✨Engage with the Research Community
Discuss your involvement in the wider research community, such as attending conferences or collaborating with other researchers. This shows your commitment to sharing knowledge and staying updated on industry trends.
