Reward & Recognition Partner, Google DeepMind
$108-166k
+ bonus + equity + benefits
Office located in Mountain View, CA
AI systems to solve problems and advance scientific discovery
Job no longer available
AI systems to solve problems and advance scientific discovery
1001+ employees
Job no longer available
$108-166k
+ bonus + equity + benefits
Office located in Mountain View, CA
1001+ employees
Company mission
To build AI responsibly to benefit humanity.
Role
Who you are
- Experience working on compensation and annual cyclical processes such as compensation planning and promotions, as well as working on complex offers
- Experience working in a tech company, preferably with a machine learning focus
- Knowledge of the competitive talent environment in California and US regulations
- Ability to run with a brief and deal with some ambiguity. When something you are working on changes, you adapt comfortably with a readiness to learn
- Proficiency in Google Sheets, with strong analytical skills
- Collaborative in your approach to stakeholder management and experienced in partnering with Talent Acquisition teams and HR Business Partners
- Highly organised with experience of managing your own workload across an array of activity and projects
- Good communication skills, and a strong ability to build relationships across an organisation, instilling trust and creating understanding
What the job involves
- This role sits within the People & Culture team which works together to maintain, optimise, and cultivate our culture to create the best environment in the world for advancing AI research
- You will be managed by the North America Lead (being hired), and collaborate closely with two other Partners in London
- As part of the newly formed Reward team in the US, you’ll be instrumental in delivering processes and programs in North America, (particularly in Mountain View, California)
- Provide advice and counsel to the Talent Acquisition team and hiring managers through the offer negotiation process
- Contribute to running our compensation programs that support our wider organisational philosophy while ensuring strong governance
- Work with compensation metrics, reports, and tools to inform compensation decisions and forecast, report, and/or analyse compensation outcomes
- Communicate and partner effectively with our People & Culture and Talent Acquisition teams to provide insights to enable insights-led decisions
- Contribute to developing and implementing reward and recognition frameworks for the full organisational structure at Google DeepMind
- Contribute to compensation projects, owing major workstreams, such as modelling, project planning, communication or training in partnership with your direct team
- Continuously evaluate the efficiency of compensation programs, innovating and recommending changes to improve the effectiveness of our investment in total rewards
Our take
Google DeepMind combines the talents of two leading AI labs, Google Brain and DeepMind. Over the past decade, they have made major breakthroughs in artificial intelligence, which have helped shape the AI industry today.
DeepMind first gained attention with its deep reinforcement learning techniques, especially with the program DQN, which learned to play 49 Atari games just by watching the screen. Its landmark achievement came with AlphaGo, the first AI to beat a world champion in the complex game of Go. Following this success, it tackled even tougher challenges, such as creating AlphaStar, which defeated professional players in StarCraft II, and AlphaFold, which predicts protein structures to advance medical research.
Now operating as Google DeepMind, the organisation uses its computing resources to solve important scientific and engineering problems. Focused on developing AI responsibly, ensuring that its groundbreaking products benefit everyone, With ongoing innovations in areas like generative models and robotics, Google DeepMind is set to lead the next wave of AI advancements while addressing the ethical challenges that come with these technologies.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Jan 2012
$5m
ANGEL
Total funding: $5m
Company HQ
London, UK
Leadership
Demis Hassabis
(Co-Founder & CEO)Studied Computer Science at Cambridge University before doing a PhD in Cognitive Neuroscience at UCL. They began their career as a Lead Programmer at Bullfrog Productions and then Lionhead Studios before founding Elixir Studios, where they spent 7 years as the CEO.
Shane Legg
(Co-Founder & Chief Scientist)Completed a PhD in Artificial Intelligence and Mathematics after working as a Software Engineer.
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