At a Glance
- Tasks: Define threat models and design experiments to enhance AI security.
- Company: Leading AI security firm based in Greater London.
- Benefits: Competitive salary, equity opportunities, and remote-friendly work environment.
- Other info: Exciting opportunity for career growth in a dynamic field.
- Why this job: Join a cutting-edge team tackling real-world security challenges with AI.
- Qualifications: Advanced degree in CS/ML and strong coding skills required.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI security firm in Greater London is seeking a Senior Applied ML Research Engineer. The role involves defining threat models, designing experiments, and building systems to neutralize risks in autonomous tools.
Candidates should have:
- an advanced degree in CS/ML
- experience with ML models
- excellent coding skills
- a passion for security
This position is remote-friendly with competitive compensation, including salary and equity opportunities.
Senior ML Research Engineer, Agentic Security - Remote employer: Dynamo AI
Contact Detail:
Dynamo AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Research Engineer, Agentic Security - Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the AI security space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to security. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and maybe even do some mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us.
We think you need these skills to ace Senior ML Research Engineer, Agentic Security - Remote
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced degree in CS/ML and any relevant experience with ML models. We want to see your coding skills shine, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for the Senior ML Research Engineer role. Mention how your experience aligns with defining threat models and designing experiments, as this will show us you’re a perfect fit for the team.
Passion for Security: Let your enthusiasm for security come through in your application. Share any personal projects or experiences that demonstrate your commitment to neutralising risks in autonomous tools – we love to see that passion!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our remote-friendly environment.
How to prepare for a job interview at Dynamo AI
✨Know Your ML Models Inside Out
Make sure you’re well-versed in the latest machine learning models and techniques. Be prepared to discuss your experience with them, including any challenges you've faced and how you overcame them. This will show your depth of knowledge and passion for the field.
✨Understand Threat Modelling
Since the role involves defining threat models, brush up on your understanding of various security threats and how they can be mitigated. Be ready to share examples of how you've approached threat modelling in past projects, as this will demonstrate your practical experience.
✨Showcase Your Coding Skills
Expect to be tested on your coding abilities, so practice writing clean, efficient code. Familiarise yourself with common algorithms and data structures, and be prepared to solve problems on the spot. This is a great opportunity to showcase your technical prowess.
✨Express Your Passion for Security
Let your enthusiasm for security shine through during the interview. Share any personal projects or research you've done related to AI security. This not only highlights your commitment but also aligns with the company’s mission, making you a more attractive candidate.