At a Glance
- Tasks: Prototype scalable AI solutions and evaluate harmful manipulation in language models.
- Company: Join DeepMind, a leading AI lab focused on ethical and impactful technology.
- Benefits: Competitive salary, learning opportunities, and a chance to work on groundbreaking projects.
- Other info: Collaborative environment with diverse career pathways and exceptional growth potential.
- Why this job: Make a real difference in AI safety and innovation for billions of users.
- Qualifications: Bachelor's degree in a technical field and 3 years of Python experience required.
The predicted salary is between 72000 - 88000 £ per year.
Artificial intelligence will be one of humanitys most transformative inventions.
At Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains.
Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Minimum qualifications
Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience.
3 years of experience in Python programming.
3 years of experience with ML frameworks such as JAX, Py Torch, or Tensor Flow.
Preferred qualifications
Master's degree or Ph D in Computer Science, Engineering, or a related field with a focus on machine learning.
Experience in Python and C++ for high-performance ML library development.
Experience with harmful manipulation detection, persuasion modeling, deceptive behavior analysis, or AI safety evaluation and mitigation.
Experience working directly on AI safety, or responsible AI research.
Experience building evaluation frameworks, benchmarks, or automated testing pipelines for ML models.
Responsibilities
Be able to rapidly prototype and deliver scalable engineering solutions across the Responsibility research portfolio.
Architect and optimize training and inference pipelines to detect and evaluate harmful manipulation behaviors in frontier language models.
Develop post-training strategies to mitigate manipulation risks including deceptive persuasion, sycophancy, and covert influence tactics.
Collaborate with research scientists to translate safety research into robust implementations and present results to cross-functional stakeholders.
Build and maintain evaluation infrastructure to systematically track model safety performance across releases.
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Research Engineer, Responsible Frontier AI Research, DeepMind in London employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Responsible Frontier AI Research, DeepMind in London
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We think you need these skills to ace Research Engineer, Responsible Frontier AI Research, DeepMind in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Hackajob.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Hackajob and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at Hackajob
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Hackajob uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
