Full-Time

Reward & Recognition Partner

Confirmed live in the last 24 hours

DeepMind

DeepMind

1,001-5,000 employees

Develops artificial general intelligence systems

AI & Machine Learning
Biotechnology
Education

Compensation Overview

$111k - $170kAnnually

+ Bonus + Equity

Mid

Mountain View, CA, USA

Category
Human Resources
People & HR
Required Skills
Data Analysis
Excel/Numbers/Sheets
Requirements
  • Experience working on compensation in a tech company, preferably with a machine learning focus.
  • Knowledge of competitive talent environment in California and US regulations.
  • Experience of working on complex offers and balancing tensions between hiring needs and longer-term compensation implications.
  • You are comfortable working autonomously and making decisions under pressure.
  • Ability to assimilate ambiguous information from a wide variety of sources to provide meaningful and timely insights to inform decisions, and you are comfortable communicating these findings.
  • You can run with a brief and are comfortable dealing with some ambiguity. When something you are working on changes, you adapt comfortably with a readiness to learn.
  • You are proficient using Google Sheets, with strong analytical skills.
  • You are collaborative in your approach to stakeholder management, and have experience of owning relationships with senior stakeholders. You are highly organised with experience of managing your own workload across an array of activity and projects.
  • You have experience partnering with other teams and have good communication skills, with a natural ability to build relationships across an organisation, instilling trust and creating understanding.
Responsibilities
  • Provide advice and counsel to the Talent Acquisition team and hiring managers through the offer negotiation process.
  • Work with compensation metrics, reports, and tools to inform compensation decisions and forecast, report, and/or analyse compensation outcomes.
  • Communicate effectively with senior leaders and people & culture teams to provide insights to enable insights-led business decisions.
  • Contribute to running our compensation programs that support our wider organisational philosophy while ensuring strong governance.
  • Develop and implement reward and recognition frameworks for the full organisational structure at DeepMind.
  • Lead compensation projects from design through execution, including modelling, project planning, communicating, and training in partnership with the rest of the Reward & Recognition team.
  • Continuously evaluate the efficiency of compensation programs, innovating and recommending changes to improve the effectiveness of our investment in total rewards.

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

Company Stage

Acquired

Total Funding

$4.9M

Headquarters

London, United Kingdom

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • DeepMind's advancements in AI-driven drug discovery, such as collaborations with Lilly and Novartis, promise significant contributions to healthcare and pharmaceuticals.
  • The introduction of AlphaCode 2 and other AI models showcases DeepMind's continuous innovation and leadership in competitive programming and AI research.
  • DeepMind's AI tools for music creation and weather forecasting demonstrate the company's versatility and potential to revolutionize multiple industries.

What critics are saying

  • The backlash against Google's Gemini AI model could impact DeepMind's reputation and trustworthiness in the AI community.
  • The competitive landscape in AI is intense, with rapid advancements from other tech giants potentially overshadowing DeepMind's innovations.

What makes DeepMind unique

  • DeepMind's pioneering work in AI, such as the development of AlphaFold and AlphaCode, sets it apart as a leader in both scientific research and practical AI applications.
  • The company's integration with Google's vast resources and data infrastructure provides a significant competitive advantage over standalone AI firms.
  • DeepMind's focus on ethical AI and its collaborations with industry leaders like Lilly and Novartis highlight its commitment to impactful and responsible AI innovation.

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