Posted:
12/23/2024, 3:58:01 AM
Location(s):
London, England, United Kingdom ⋅ England, United Kingdom
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Product
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 opportunities 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.
The role sits within Google DeepMind’s Compute Planning team. The team is responsible for building and managing Google DeepMind’s extensive Machine Learning (ML) Hardware portfolio
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.
As a Technical Program Manager in the Compute Planning team you will play a key role in the building and ongoing management of Google DeepMind’s extensive ML Hardware portfolio.
You will work alongside our Product Managers, Engineers and Researchers to help define and optimise DeepMind's overall capabilities in this space.
Key Responsibilities.
In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
If you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it, in particular the opportunities to learn and grow on the job.
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.
Website: https://deepmind.com/
Headquarter Location: London, England, United Kingdom
Employee Count: 501-1000
Year Founded: 2010
IPO Status: Private
Last Funding Type: Series A
Industries: Artificial Intelligence (AI) ⋅ Business Development ⋅ Machine Learning