Research Scientist, Principles of Learning - Google

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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. 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.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. 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.

The Role

We are seeking a highly motivated and talented Research Scientist to join our team at the forefront of Principles of Learning research. You will be working alongside a world-class team of researchers and engineers to develop and advance the next generation of machine learning methods.

Key responsibilities:



+ Develop novel efficient machine learning methods. Investigate innovative, principled algorithmic and statistical approaches to accelerate training of large models. This may include curriculum design, training data selection, sequential ordering, and reweighting methods.



+ Build a foundation for the design of improved learning methods. Propose, contribute to, and lead research projects to develop a clearer and more precise understanding of the behavior of modern machine learning, with the aim of improving optimization and generalization performance.



+ Amplify impact. Translate research findings into practical methodologies by building and benchmarking prototypes that demonstrate performance and efficiency improvements and developing reusable libraries. Identify opportunities for your work to support other teams and contribute through internal collaborations. Share knowledge through publications, open source projects, and education.



About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:





+ PhD in Computer Science, Statistics, or a related quantitative field



+ Strong publication record in top venues (e.g., NeurIPS, ICML, COLT, ICLR)





In addition, the following would be an advantage:





+ Proven ability to design and execute independent research projects



+ Excellent communication and collaboration skills



+ Experience with JAX, PyTorch, or similar machine learning platforms



+ Experience in driving new research ideas from conception to production in a rapidly shifting landscape





The US base salary range for this full-time position is between $136,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.



Application deadline: 5pm PT November 8th, 2024



Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy (https://careers.google.com/privacy-policy/) .