Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 94.000 to 96.500€ Gross/Year
- Location
- Vienna
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop scalable graph libraries and evaluate data pipelines. You will design experiments, optimize algorithms, and work on real-world problems such as generative AI and graph mining.
Job Technologies
Your role in the team
- As a Research Scientist, you'll set up 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 Graph Mining team's mission is to build the most scalable and accessible graph library to empower teams across Google.
- We aim for graphs with Xetta-Tera (XT) nodes and Xetta-Xetta-Tera (XXT) edges.
- Develop end-to-end data evaluation pipelines, curation methods, visualization toolkits, and infrastructure for the Gemini team and Graph Mining library.
- Run experiments with small-scale models and integrate data tools across various applications in a changing environment.
- Requires a mix of C++ and Python development (with large-scale pipeline expertise strongly preferred).
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Our expectations of you
Education
- PhD degree in Computer Science, a related field, or equivalent practical experience.
Qualifications
- One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Experience
- Experience with the domain area of Generative AI or Large Language Models.
- Experience designing, implementing, and optimizing advanced algorithms.
- 2 years of coding experience.
- 2 years of experience with graph mining.
- 1 year of experience owning and initiating research agendas.
- Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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What we offer
- Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
- Austria: €94,000 - €96,500 (EUR) + 15% bonus target + equity + benefits.
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Topics that you deal with on the job
Job Locations
This is your employer
Google Austria GmbH
Google is the world's leading technology company, providing people with new ways to access information.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Research Scientist, GenAI, Graph Mining
- Salary
- 94.000 to 96.500€ Gross/YearNet salary converted from the gross salary in the job ad.59.214 to 60.546 € net/Year
- Location
- Vienna
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
