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Urgent! Software Engineer, AI for Secure Code Job | Google
Snapshot
Work with research scientists and engineers to advance the capabilities of CodeMender (https://deepmind.google/blog/introducing-codemender-an-ai-agent-for-code-security/) , an AI agent for code security.
Together, you will apply ML and advanced program analysis techniques to make software more secure.
About Us
Artificial Intelligence could be one of humanity’s most useful inventions.
At 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
AI’s cyberattack capability is increasing rapidly; recently, there has been a surge in the number of zero-day exploits found by AI in well-tested software.
As we achieve more breakthroughs in AI-powered vulnerability discovery, it will become increasingly difficult for humans alone to keep up.
We recently announced CodeMender (https://deepmind.google/blog/introducing-codemender-an-ai-agent-for-code-security/) , an AI agent for Code Security that helps solve this problem by taking a comprehensive approach to code security that’s both reactive, instantly patching new vulnerabilities, and proactive, rewriting and securing existing code and eliminating entire classes of vulnerabilities in the process.
As a software engineer in the CodeMender team, you will build prototypes and demos that leverage AI for code security, work with partner and client teams, and most importantly, land transformative impact for GDM and software security more broadly.
The preferred locations are Mountain View, San Francisco, or New York.
Key responsibilities:
+ Developing strategies and solutions to advance the agent's abilities to solve code security challenges.
+ Integrating novel agentic techniques into research prototypes.
+ Building evaluation pipelines, benchmarks, and leaderboards.
+ Scaling agent infrastructure and developing tools for agentic workflows.
+ Working with product teams to gather research and product requirements.
+ Deployment of research-based solutions to products.
About You
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward.
We regularly need to invent novel solutions to problems, and at times change course if our ideas don’t work out, so flexibility and adaptability to work is a must.
In order to set you up for success as a Software Engineer at Google DeepMind in our team, we look for the following skills and experience:
+ MSc or PhD/DPhil degree in computer science or Bachelors in Computer Science or related field with 3+ years of relevant experience.
+ Experience building large-scale infrastructure and developer tools.
+ Large contribution to the code and (co-)leading the development in the project(s) above.
+ Experience building AI tools/agents for coding is highly desirable.
+ Experience building ML-based applications is preferred.
+ Experience in security and open source development is a plus.
+ Independent, self-starter attitude.
+ Passion for the mission above.
The US base salary range for this full-time position is between $141,000 - $291,000 + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf.
For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy
At 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, maternity 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.
✨ Smart • Intelligent • Private • Secure
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Real-time Software Engineer Jobs Trends in Mountain View, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Software Engineer in Mountain View, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 176019 jobs in United States and 1036 jobs in Mountain View. This comprehensive analysis highlights market share and opportunities for professionals in Software Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Google is currently hiring and seeking a Software Engineer, AI for Secure Code to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Google adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Software Engineer, AI for Secure Code Jobs United States varies, but the pay scale is rated "Standard" in Mountain View. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Software Engineer, AI for Secure Code typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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