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- Tasks: Advance large language models through research and practical engineering.
- Company: Leading AI research organisation in Greater London with a focus on societal impact.
- Benefits: Competitive compensation and a hybrid work model for flexibility.
- Why this job: Join a team that shapes the future of AI and makes a real difference.
- Qualifications: Strong software engineering skills, proficiency in Python, and an advanced degree.
- Other info: Collaborative environment with a focus on innovation and societal benefits.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research organization in Greater London is seeking a Research Engineer/Scientist to advance large language models. This role involves research and practical engineering to build reliable AI systems.
Ideal candidates should have:
- a strong software engineering background,
- proficiency in Python,
- an advanced degree in a relevant field.
The organization values collaboration and seeks individuals who care about AI's societal impacts. This position offers competitive compensation and a hybrid work model.
Research Engineer: Science of Scaling for Safe AI employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer: Science of Scaling for Safe AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges and be ready to discuss how your work impacts society. Remember, they want to see your passion for safe AI!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Research Engineer: Science of Scaling for Safe AI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering background and Python proficiency in your application. We want to see how your skills align with the role of advancing large language models.
Research Matters: Since this role involves research, don’t forget to mention any relevant projects or experiences you've had. We love candidates who can demonstrate their understanding of AI and its societal impacts.
Be Yourself: We value collaboration and authenticity, so let your personality shine through in your written application. Share what excites you about AI and why you want to be part of our team!
Apply Through Our Website: To make sure your application gets to us, apply directly through our website. It’s the best way for us to review your application and get you on board for this exciting opportunity!
How to prepare for a job interview at Anthropic
✨Know Your Stuff
Make sure you brush up on your knowledge of large language models and the latest advancements in AI. Be ready to discuss your previous projects and how they relate to the role. This shows that you're not just a software engineer, but someone who understands the broader implications of AI.
✨Show Off Your Python Skills
Since proficiency in Python is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to a specific project. Practising coding challenges beforehand can really help you shine.
✨Emphasise Collaboration
This organisation values teamwork, so be ready to talk about your experiences working in collaborative environments. Share examples of how you've successfully worked with others to achieve a common goal, especially in research or engineering contexts.
✨Discuss Societal Impact
Given the focus on AI's societal impacts, think about how your work can contribute positively to society. Prepare to discuss your views on ethical AI and how you can help ensure that the systems you build are safe and reliable. This will show that you align with their values.