Research Scientist USA
Research Scientist USA
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$ 161000 - 300000
1 Vacancy
Job Description
Snapshot
We research and develop cuttingedge machine learning models for billions of Google users. Our current projects include Imagen 3 and Veo. Located in Mountain View we collaborate with teams around the world especially Google PAs to iteratively improve the model performance and expand its capabilities
About Us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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
Key Responsibilities:
The Research Scientist role involves applying scientific expertise to advance GDMs mission. You will work independently on research assignments driving project segments which involves conducting literature reviews using scientific methods and independent judgment to develop new methods solving challenging problems balancing shortterm and longterm goals taking engineering approaches to measure validate and evaluate the impact of research.
Some of our current projects are focusing on the areas below so experience in any of these is highly beneficial:
- Multimedia generation (image video and audio)
- Generative models (e.g. autoregressive diffusion)
- Model optimization
- Reinforcement Learning
About You
We seek out individuals who thrive in ambiguity approach challenging problems and explore the solution space with curiosity and take scientific and systematic methods to solve problems. We regularly need to invent novel solutions to problems and deliver impact through research activities so flexibility and adaptability to balancing shortterm and longterm goals is important.
In order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience:
- PhD degree in computer science mathematics applied statistics machine learning or similar experience working in industry
- A strong publication record on machine learning statistics and diffusion model theories and their applications
- Handson experience with training diffusion models and other generative models
- Proven experience of Tensorflow or similar ML frameworks (e.g. JAX or PyTorch)
- Recent experience conducting independent research
In addition the following would be an advantage:
- Experience in diffusion model latency reduction
- Experience in controlled media generation
- Proven experience conducting research in industry
What we offer
At Google DeepMind we want employees and their families to live happier and healthier lives both in and out of work and our benefits reflect that. Some select benefits we offer: enhanced maternity paternity adoption and shared parental leave private medical and dental insurance for yourself and any dependents and flexible working options. We strive to continually improve our working environment and provide you with excellent facilities such as healthy food an onsite gym faith rooms terraces etc.
We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).
The US base salary range for this fulltime position is between $bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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.
Employment Type
Full Time
