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- 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Dynamo AI. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or research that align with what Dynamo is doing, share them. A portfolio or GitHub can really make you stand out.
✨Tip Number 3
Prepare for interviews by diving deep into their work. Understand their projects like DynamoGuard and AgentWarden, and think about how you can contribute to their goals.
✨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 at Dynamo AI.
We think you need these skills to ace ML Research Scientist Intern – Dynamo Guard / Dynamo Eval / AgentWarden
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of ML Research Scientist Intern. Highlight relevant projects, skills, and experiences that align with AI evaluation, adversarial robustness, and model safety. We want to see how your background fits into our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI safety and how your research interests align with our work at Dynamo AI. Be genuine and let your enthusiasm for the field come through.
Showcase Your Research Skills: Since this role involves conducting research, make sure to highlight any relevant research experience you have. Discuss methodologies you've used, experiments you've designed, and any findings that could relate to our focus areas like hallucination detection or adversarial attack generation.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen on joining our team!
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 ML. 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 research projects you've worked on, especially those related to AI safety or model robustness. Highlight your experience in designing experiments and analysing results. This is your chance to demonstrate your critical thinking and problem-solving skills.
✨Familiarise Yourself with Their Work
Dive into Dynamo AI's projects like DynamoGuard, DynamoEval, and AgentWarden. Understanding their focus areas will help you tailor your answers and show genuine interest in their work. Plus, it’ll give you a leg up when discussing how you can contribute.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current challenges in AI evaluation and adversarial robustness. This not only shows your enthusiasm but also your understanding of the field. It’s a great way to engage with the interviewers and leave a lasting impression.