Office locations: Openn to Mountain View, San Francisco, or New York.

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 

We are looking for an experienced Talent Acquisition (TA) Specialist to join our North America (NA) Team. Reporting into the Head of Talent Acquisition for NA, you will have autonomy over hiring for a number of teams across Google DeepMind, and will closely collaborate with our wider TA team, based across both North America and London.
You’ll work in partnership with business leaders to improve our efforts in attracting and securing outstanding talent who we need to solve our mission. You’ll do this through the lens of diversity, equity and inclusion; ensuring our process and candidate experience is fair, positive and meaningful for all. 

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

Key responsibilities:

• Operate as a full-life cycle recruiter driving end-to-end talent acquisition across a number of critical GDM businesses in North America, likely including “other tech” roles (PM, TPM, UX, etc) and may be asked to support anything from Research Scientist, Research Engineer and non-technical roles as well.
• Become a strong DEI champion for GDM - leverage (or create new!) resources to help the business achieve DEI aspirations. 
  Identify gaps in staffing structure (interview questions, process inefficiencies, rubrics, comp, etc.) and develop solutions that enable the business to seamlessly engage with hiring and our processes.
• Provide strong and consistent communication between the talent acquisition team and the business.
• Build strong relationships with key stakeholders and operate as a trusted talent advisor.
• Represent GDM at external events to strengthen relationships, promote our brand and engage with candidates.
• Develop and maintain talent acquisition strategies tailored to the North American market.

About You

To set you up for success in Talent Acquisition at Google DeepMind, we look for the following skills and experience:

• A thought partner, offering a consultative approach, ensuring hiring is fair, equitable and inclusive.
• Experience hiring a broad range of technical roles from a global talent pool
• A champion of data-driven recruitment practices, with the ability to create compelling business reports.
• Interested in AI and Technology, wanting to contribute to GDM’s mission in a pioneering and responsible way.
• Experience sourcing, engaging with and successfully closing candidates.
• Demonstrated understanding of how to successfully recognize and advocate for talent from non-traditional backgrounds.
• Strong domain knowledge and expertise in AI/ML/Research talent acquisition
• Experience developing new staffing processes and workflows

In addition, the following would be an advantage: 

• Demonstrated success operating in unstructured and ambiguous environments.
• Track record of designing strategy and delivering impact for a client

The US base salary range for this full-time position is between $105,000 - $161,000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 8am PT Thursday 28th March 2024