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Machine Learning Research Scientist
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We are seeking a highly skilled Research Scientist to join our team at Google DeepMind, focusing on weather and climate, and the connections to energy, water, nature, and other key sustainability domains.
Key Responsibilities- Design, implement, and evaluate models and software prototypes for sustainability-related problems.
- Report and present research findings and developments clearly and efficiently, both internally and externally.
- Contribute to team collaborations to meet ambitious research goals.
- Engage with application and product needs, to inform research decisions.
- Devise and execute independent research directions.
- PhD or equivalent experience in machine learning, artificial intelligence, computer science, or comparable technical domain.
- Strong background in machine learning foundations, including familiarity with distributed systems and training/inference infrastructures.
- Commitment/experience/expertise in weather/environmental sustainability and/or allied areas.
- Potential for leadership in identifying, planning, and executing key research directions, and/or managing teams.
- Core contributor to OSS projects.
- Experience with remote sensing data.
- Experience translating research innovations into product applications.
- Experience with leadership (academic and/or industry).
At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.
We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
