Research Scientist, Synthetic Data Generation
Research Scientist, Synthetic Data Generation
Research Scientist, Synthetic Data Generation
Research Scientist, Synthetic Data Generation
Internet, Onlinemedien
Zürich
- Art der Anstellung: Vollzeit
- 78.500 CHF – 108.500 CHF (von XING geschätzt)
- Vor Ort
Research Scientist, Synthetic Data Generation
Über diesen Job
Research Scientist, Synthetic Data Generation
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corporate_fare Google place Zürich, Switzerland
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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Minimum qualifications:
- PhD degree in Computer Science, or a related field, or equivalent practical experience.
- 2 years of experience programming with Python.
- Experience with large language models.
- Having published papers (being listed as author) at conferences (e.g., NIPS, ICML, ACL, CVPR, etc).
Preferred qualifications:
- First author publications at target conferences (NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, USENIX Security, IEEE S&P, ACM CCS) in the field of synthetic data generation.
- Experience in designing, implementing, and scaling AI systems, with a focus on beam-like pipelines.
- Experience in designing and developing high-quality user/developer-facing Application programming interfaces (APIs).
- Significant research experience with LLMs and understanding of their capabilities and limitations.
- Proven track record of delivering AI models, tools, or frameworks.
- Excellent communication and teamwork skills for effective collaboration with partners.
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.
Responsibilities
- Develop and evaluate novel algorithms for various synthetic data generation, across modalities (text, images, audio, etc.)
- Design and conduct experiments to assess the quality and effectiveness of synthetic data in training and evaluating AI models.
- Use beam-like pipelines to handle massive datasets and enable efficient data generation at scale.
- Stay up-to-date with the latest research in Large Language Models (LLMs) and synthetic data.
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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