At a Glance
- Tasks: Conduct cutting-edge research on AI evaluation and model safety.
- Company: Join Dynamo AI, a leader in innovative machine learning solutions.
- Benefits: Gain hands-on experience, mentorship, and potential publication opportunities.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact on the future of AI security and robustness.
- Qualifications: Pursuing a Master’s or PhD in ML, AI, or Computer Science.
The predicted salary is between 500 - 1500 £ per month.
At Dynamo AI, an ML Research Scientist Intern will focus on advancing the state of AI evaluation, adversarial robustness, and agent security. You will contribute to novel research in model safety, hallucination detection, red-teaming, runtime guardrails, and AI risk remediation across DynamoGuard, DynamoEval, and AgentWarden.
Responsibilities
- Conduct research on LLM evaluation methodologies, adversarial attack generation, and model robustness.
- Develop novel techniques for detecting hallucinations, policy violations, prompt injection, and agent misalignment.
- Design experiments to evaluate AI systems under real-world enterprise constraints.
- Contribute to research artifacts, including internal technical reports, benchmarking frameworks, and potentially publications.
- Collaborate with engineering teams to transition research innovations into deployable guardrails and runtime protections.
- Analyze large-scale model behavior data to uncover systematic vulnerabilities and improvement opportunities.
Qualifications
- Currently pursuing a Master’s or PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field.
- Strong theoretical foundation in ML, NLP, or deep learning.
- Experience working with large language models or generative AI systems.
- Familiarity with adversarial ML, AI safety, or model evaluation frameworks is a strong plus.
- Demonstrated ability to design rigorous experiments and analyze results critically.
- Passion for advancing secure and production-grade AI systems.
ML Research Scientist Intern – Dynamo Guard / Dynamo Eval / AgentWarden in London employer: Dynamo AI
Contact Detail:
Dynamo AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Scientist Intern – Dynamo Guard / Dynamo Eval / AgentWarden in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML fields on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t hesitate to slide into DMs – you never know who might have the inside scoop on opportunities!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI evaluation and adversarial robustness. Whether it’s GitHub repos or blog posts, let your work speak for itself and make it easy for recruiters to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by diving deep into Dynamo AI’s work. Familiarise yourself with their projects like DynamoGuard and AgentWarden. Tailor your responses to highlight how your skills align with their mission – it’ll show you’re genuinely interested and ready to contribute!
✨Tip Number 4
Don’t just apply anywhere – apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re keen on being part of the StudySmarter family and ready to tackle exciting challenges in AI research.
We think you need these skills to ace ML Research Scientist Intern – Dynamo Guard / Dynamo Eval / AgentWarden in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in ML, AI, and any projects related to adversarial robustness or model safety. We want to see how your skills align with what we're doing at Dynamo AI!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and explain why you're excited about the role. Let us know how your background makes you a great fit for our team.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving LLMs or AI safety, make sure to mention them. We love seeing practical applications of your skills and creativity!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your materials and keep track of your application. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Dynamo AI
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, NLP, and deep learning. Be ready to discuss your understanding of LLM evaluation methodologies and adversarial robustness. This will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Research Skills
Prepare to talk about any relevant research you've conducted, especially if it relates to AI safety or model evaluation frameworks. Bring examples of experiments you've designed and how you analysed the results. This will demonstrate your ability to contribute to Dynamo AI's innovative projects.
✨Be Ready for Technical Questions
Expect some technical questions that test your problem-solving skills in real-world scenarios. Think about how you would approach designing experiments under enterprise constraints or how to detect hallucinations in models. Practising these scenarios can help you articulate your thought process clearly.
✨Collaborative Mindset
Dynamo AI values collaboration, so be prepared to discuss how you've worked with engineering teams in the past. Highlight any experiences where you transitioned research into practical applications. This will show that you can work well in a team and contribute to deploying effective guardrails and protections.