AI Security Research Engineering in Bristol
AI Security Research Engineering

AI Security Research Engineering in Bristol

Bristol Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join HP Security Lab to develop AI security solutions for edge architectures.
  • Company: HP, a leader in tech innovation and security research.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Why this job: Make a real impact on AI security while collaborating with top researchers.
  • Qualifications: Solid background in machine learning and computer security required.
  • Other info: Fast-paced environment with exciting challenges and career advancement potential.

The predicted salary is between 36000 - 60000 £ per year.

We have an exciting opportunity to join the HP Security Lab. The role will be focused on AI security in edge architectures, specifically combining knowledge of ML and system security to robustly protect models and data on client devices. You will be contributing to HP’s security research, providing analysis of use cases and threats as well as security designs and prototypes, helping inform the design of future products and services. You will be working closely with other AI security researchers and with security technologists across HP.

The ideal candidate would have a solid background in machine learning, knowledge and experience of computer security, preferably system security, with a good technical understanding of system software. This position requires a strong engineer who can influence and communicate effectively.

Job Responsibilities:
  • Developing new security designs, architectures and use cases
  • Building prototypes to de-risk and show feasibility of ideas
  • Documenting use cases and architecture in writing
  • Validating use case value proposition with end-users and business partners
  • Working in a fast-paced environment that iterates and evolves rapidly
Job Requirements:
  • Experience in or knowledge of machine learning solution architectures
  • Experience in or knowledge of machine learning security risks
  • Strong ML and software engineering skills
  • Experience in or knowledge of computer security
  • An ability to convey technical knowledge to both technical experts and non-technical teams alike
The following skills and attributes are a plus:
  • Knowledge of hardware, firmware and system software architectures
  • Knowledge of operating system and hypervisor technologies
  • Degree in Computer Science or related field, or equivalent

AI Security Research Engineering in Bristol employer: HP

Joining HP Security Lab as an AI Security Research Engineer offers a unique opportunity to work at the forefront of AI security in edge architectures. With a strong emphasis on collaboration and innovation, HP fosters a dynamic work culture that encourages professional growth through hands-on experience and continuous learning. Employees benefit from a supportive environment that values diverse perspectives, making it an excellent place for those looking to make a meaningful impact in the tech industry.
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Contact Detail:

HP Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Security Research Engineering in Bristol

✨Tip Number 1

Network like a pro! Reach out to folks in the AI security space, especially those at HP. Use LinkedIn or industry events to connect and chat about your passion for machine learning and system security.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to AI security and machine learning. This could be anything from prototypes to research papers – let your work speak for itself!

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you can tackle security risks in ML architectures and share examples of how you've communicated complex ideas to different audiences.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the HP Security Lab team.

We think you need these skills to ace AI Security Research Engineering in Bristol

Machine Learning
System Security
Computer Security
Security Design
Prototyping
Technical Communication
Software Engineering
Use Case Analysis
Operating System Knowledge
Hypervisor Technologies
Hardware Architecture Knowledge
Firmware Knowledge
Analytical Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in machine learning and system security. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI security and how your background makes you a perfect fit for our team at HP Security Lab. Keep it engaging and personal!

Showcase Your Technical Skills: When filling out your application, be specific about your technical skills. Mention any experience with security designs, architectures, or prototypes. We love seeing candidates who can communicate complex ideas clearly!

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at HP

✨Know Your Stuff

Make sure you brush up on your machine learning and system security knowledge. Be ready to discuss specific ML architectures and security risks, as well as how they relate to edge devices. This will show that you’re not just familiar with the concepts but can apply them in real-world scenarios.

✨Showcase Your Prototyping Skills

Since the role involves building prototypes, be prepared to talk about any relevant projects you've worked on. Bring examples of your work that demonstrate your ability to develop security designs and architectures. If possible, share how these prototypes helped de-risk ideas or informed product design.

✨Communicate Clearly

You’ll need to convey complex technical information to both experts and non-experts. Practice explaining your past projects in simple terms, focusing on the value proposition for end-users and business partners. This will highlight your ability to bridge the gap between technical and non-technical teams.

✨Stay Adaptable

The job requires working in a fast-paced environment, so be ready to discuss how you handle change and iterate on your ideas. Share examples of how you've adapted to new challenges or rapidly evolving projects in the past, showcasing your flexibility and problem-solving skills.

AI Security Research Engineering in Bristol
HP
Location: Bristol

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