Engineering Lead, Google DeepMind Impact Accelerator
Engineering Lead, Google DeepMind Impact Accelerator
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Job Description
At GDM 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 maternity 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
Google DeepMinds Impact Accelerator is a team focused on catalysing AI breakthroughs through socially beneficial projects and partnerships including building upon our work on AlphaFold.
About us
The Google DeepMind Institute (GDI) has a unique role in GDM to develop solutions and resources built on GDMs technologies and expertise that extend the benefits to humanity. We are a path to real world impact beyond Google products and services or making our research public.
The role
In this role you will work in a close-knit team of engineers to bring the benefits of GDMs technologies to the APAC region.
Responsibilities range from keeping open access tools best in class by developing new features and libraries within production environments to working in partnership with and advising external partner organisations.
Key responsibilities
Lead and manage a team of Software and Research Engineers working with the Impact Lead and GDI Engineering Lead to prioritise impact opportunities.
Develop maintain and extend AI deployment solutions in response to user feedback and strategic priorities for example web services open source software and data access solutions.
Apply your software engineering expertise to guide and advise external impact partners.
Ensure a healthy team environment and develop the engineering talent on the team.
The role will suit candidates who enjoy applying state-of-the-art AI to important scientific and real-world problems for maximum impact for the wider community.
About you
Software Engineers come from diverse backgrounds sometimes with degrees in Computer Science and sometimes with extensive experience with real problems or order to set you up for success as an Engineering Lead at DeepMind we look for the following skills and experience:
A degree in computer science electrical engineering or equivalent experience.
4 years of experience in a technical leadership role; overseeing projects with 2 years of experience in a people management supervision/team leadership role
Proven experience in Python C and interoperability between the two.
Experience with concurrent and distributed software algorithms and architectures.
Experience with deployment in production environments.
Understanding of nature of AI development and deployment and what technology can and cannot do beyond GenAI.
In addition the following would be an advantage:
Experience using GCP and other cloud solutions.
Familiarity with modern hardware accelerators (GPU/TPU).
A deep interest in AI and how it can make a difference in the world.
Employment Type
Full Time
