Full-Time

Reward & Recognition Partner

Posted on 10/24/2024

DeepMind

DeepMind

1,001-5,000 employees

Develops artificial general intelligence systems

AI & Machine Learning
Biotechnology

Compensation Overview

$111k - $170kAnnually

+ Bonus + Equity

Mid, Senior

Mountain View, CA, USA

Category
Financial Planning and Analysis (FP&A)
Finance & Banking
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

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Simplify's Take

What believers are saying

  • AI-driven drug discovery collaborations with Eli Lilly and Novartis boost DeepMind's impact.
  • AlphaCode 2 showcases AI's potential in competitive programming and problem-solving.
  • Dream Track and Lyria transform music creation with advanced AI models.

What critics are saying

  • Competition from AI startups like Character.ai and Cohere challenges DeepMind's market position.
  • Backlash against Google's Gemini AI highlights reputational risks for DeepMind.
  • Increased scrutiny on AI ethics may pressure DeepMind to ensure transparency.

What makes DeepMind unique

  • DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
  • DeepMind's AlphaFold model advances protein structure prediction for scientific discoveries.
  • GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.

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