Research Software Engineer, Google Research
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Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software programming in Python or C++.
- 1 year of experience with data structures and algorithms.
- 1 year of experience implementing core Machine Learning (ML) concepts.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience in a university or industry labs, with emphasis on AI research.
- Experience developing accessible technologies.
- Understanding of transformer architecture internals.
- One or more AI/ML research publication in peer reviewed research conference.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.
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
- Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
- Prototype, profile and benchmark solutions to showcase effectiveness.
- Lead and collaborate with research teams located across the globe.
- Drive and grow collaborations with product teams to land product innovations.
- Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
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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.
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