At a Glance
- Tasks: Design experiments and build evaluations for AI safety and catastrophic risks.
- Company: Join Anthropic, a leader in AI safety based in London.
- Benefits: Enjoy a competitive salary, private health insurance, and unlimited PTO.
- Other info: Dynamic role with opportunities to influence key company decisions.
- Why this job: Make a real impact on AI safety while collaborating with top experts.
- Qualifications: Strong machine learning background and experience in Python required.
Anthropic is seeking a Research Engineer in London, who will build evaluations for catastrophic risks related to AI. This role involves designing experiments, collaborating with experts in AI safety, and influencing company decisions using AI safety levels.
Candidates should have a strong background in machine learning, preferably with experience in Python, and be capable of managing collaborative research projects.
The compensation ranges between £260,000 and £420,000, with additional benefits including private health insurance and unlimited PTO.
Research Engineer, Autonomy Evaluations & AI Safety Levels employer: Anthropic
At Anthropic, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to tackle some of the most pressing challenges in AI safety. Located in the vibrant city of London, we offer competitive compensation packages, including private health insurance and unlimited paid time off, ensuring our team members can thrive both personally and professionally. With ample opportunities for growth and development, joining us as a Research Engineer means being part of a mission-driven organisation dedicated to making a meaningful impact in the field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Autonomy Evaluations & AI Safety Levels
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI safety field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI safety levels and catastrophic risk evaluations. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Engineer, Autonomy Evaluations & AI Safety Levels
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in machine learning and Python. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your past projects relate to AI safety and evaluations. We love seeing candidates who take the time to connect their experiences to what we do!
Collaborative Spirit:Since this role involves working with experts, let us know about your collaborative experiences. Share examples of how you’ve successfully managed research projects with others. We value teamwork and want to see that in your application!
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 the role. We can’t wait to hear from you!
How to prepare for a job interview at Anthropic
✨Know Your AI Safety Levels
Make sure you understand the concept of AI safety levels and how they relate to catastrophic risks. Brush up on recent developments in AI safety and be ready to discuss how your background in machine learning can contribute to this area.
✨Showcase Your Experiment Design Skills
Prepare to talk about your experience designing experiments, especially in the context of AI. Have specific examples ready that demonstrate your ability to create effective evaluations and how they influenced project outcomes.
✨Collaboration is Key
Since this role involves working with experts, be prepared to discuss your collaborative research experiences. Highlight any projects where teamwork was essential, and explain how you navigated challenges to achieve common goals.
✨Be Ready for Technical Questions
Expect technical questions related to Python and machine learning. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common algorithms and data structures can give you an edge.
