AI/ML Security Research Scientist
Mindgard
Date: 1 week ago
City: Remote
Contract type: Full time
Remote
Mindgard is a London-based startup specializing in AI security.
We’ve spun-out from a leading UK university, and our mission is to secure the future of AI against cyber attacks targeting Deep Learning, GenAI, and LLMs. This is an unsolved challenge globally, and we are among the world’s first to offer a solution to this rapidly growing problem.
We’ve raised $4M from an excellent group of investors, released our first product offering: Mindgard AI Security Labs, and continue to build a team of engineers to join us on our journey.
We’re seeking a Research Scientist to join our R&D team, who is passionate about working on practical security problems within AI/ML.
What You Will Be Doing
Studies have shown that some groups of people are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, If you don’t meet all of the above criteria, but you think you’d be a great addition to Mindgard, we encourage you to apply as you might just be the candidate we hire. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
We’ve spun-out from a leading UK university, and our mission is to secure the future of AI against cyber attacks targeting Deep Learning, GenAI, and LLMs. This is an unsolved challenge globally, and we are among the world’s first to offer a solution to this rapidly growing problem.
We’ve raised $4M from an excellent group of investors, released our first product offering: Mindgard AI Security Labs, and continue to build a team of engineers to join us on our journey.
We’re seeking a Research Scientist to join our R&D team, who is passionate about working on practical security problems within AI/ML.
What You Will Be Doing
- Design, evaluate, and implement adversarial ML attacks and detection techniques.
- Work and collaborate with the R&D and engineering teams to push/translate adversarial ML techniques into production software for AI red teaming.
- Uncover ML security threats, analyse data and discover feature commonality
- Engage in research collaboration, publications, and conference attendance.
- Keep the company update on state-of-the-art research in adversarial ML.
- PhD in Computer Science, with a specialism within AI/ML security and/or adversarial ML.
- An excellent track record of high quality publications in top AI/ML or cyber security venues. We care about quality over quantity, and research that has industry application.
- Good programming skills in languages such as Python.
- Ability to supervise PhD students. We have a cohort of PhD students that you would have the opportunity to work and publish with.
- Optimism, kindness, and excellent communication skills.
- Ability to lead and contribute to research projects.
- Competitive salary
- 33 days vacation
- Flexible working options
- Learning & development budget
- Company equity
- An initial call to help you get to know us better and to share more information about Mindgard and the role.
- A challenge related to the job. This will really help us understand your skillset and give you an idea of the type of things you will be working on at Mindgard.
- An opportunity to meet with a few members of the Mindgard team.
- An interview with our Co-founder.
- Offer
Studies have shown that some groups of people are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, If you don’t meet all of the above criteria, but you think you’d be a great addition to Mindgard, we encourage you to apply as you might just be the candidate we hire. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
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