Full-Time

Security Engineer

Product Security

Posted on 10/29/2024

DeepMind

DeepMind

1,001-5,000 employees

Develops artificial general intelligence systems

AI & Machine Learning
Biotechnology

Compensation Overview

$189k - $300kAnnually

+ Bonus + Equity

Mid, Senior

Mountain View, CA, USA

Category
Cybersecurity
IT & Security
Required Skills
Python
C/C++
Requirements
  • Bachelor’s degree or higher in Computer Science, a related technical field, or equivalent practical experience
  • Software development experience with C++ and/or Python
  • An understanding of software vulnerabilities, their discovery, prevention, and controls appropriate to their remediation relative to performance, reliability, and other mission critical objectives
  • Experience with developing platforms and infrastructure for machine learning systems, and how machine learning pipelines operate
  • Interest in AI/ML security and privacy, with an active mindset on personal growth and self-improvement
  • Ability to influence and empathize with the needs of others, and to foster a positive, collaborative environment
  • You understand how to build secure systems. You have worked on software projects delivering mission critical systems with a high-bar for security, and understand the importance of security being part of the design from the start.
  • Decompose non-standard and novel systems that provide common infrastructure services, and can understand them quickly
  • Secure software architecture and design to ensure critical systems are protected from internal and external risks
  • Data security and privacy methods (eg. differential privacy, federated learning, confidential computing, etc.) to ensure sensitive data is protected end-end.
  • Defensive programming to ensure the continued functioning of a piece of software under unforeseen circumstances.
  • Fuzzing software using appropriate tools and techniques to find security issues.
Responsibilities
  • Establish Security Controls: Design, develop, and implement security controls to safeguard systems, networks, and data, ensuring robust defence against both emerging and established threats. This includes code reviews, threat modelling, light-weight testing, etc.
  • Consistent Implementation: Ensure the consistent application and enforcement of security controls across all relevant systems and environments through automation and tooling, in order to maintain a high standard of protection.
  • Collaboration with Research: Work closely with research and development teams to innovate, create, and help implement both established and novel security solutions. This effort will help address both existing and emerging threats and vulnerabilities.
  • Automated Evaluation: Develop and implement automated processes to pragmatically assess the effectiveness of security controls, ensuring continuous and quick identification of issues and trajectories.
  • Metrics & Reporting: Produce clear, actionable metrics to track the performance and impact of security controls, helping drive data-driven improvements.
  • Team Collaboration: Foster a positive, respectful, and collaborative team environment, where everyone contributes to achieving security goals, emphasizing Google DeepMind's culture of responsible innovation.

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

M&A

Total Funding

$503.3M

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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