At a Glance
- Tasks: Optimise systems for AI models serving millions of users and enhance breakthrough research.
- Company: Leading AI research organisation in the UK with a focus on innovation.
- Benefits: Competitive compensation and a collaborative working environment.
- Why this job: Join a team at the forefront of AI technology and make a significant impact.
- Qualifications: Experience in software engineering, especially with distributed systems and cloud infrastructure.
- Other info: Dynamic role with opportunities for professional growth in a cutting-edge field.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI research organization in the UK is seeking a Staff Software Engineer to join its Inference team. In this role, you will optimize systems that serve AI models to millions of users, focusing on infrastructure for breakthrough AI research.
Candidates should have significant experience in software engineering, especially with distributed systems, and may possess familiarity with performance optimization and cloud infrastructure.
This position offers competitive compensation and a collaborative working environment.
Staff Software Engineer, Large-Scale Inference in London employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer, Large-Scale Inference in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to distributed systems and performance optimisation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Staff Software Engineer, Large-Scale Inference in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and distributed systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI research and how your background makes you a perfect fit for our Inference team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in software engineering. We love seeing candidates who can think critically and optimise systems, especially in a cloud infrastructure context.
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’s super easy to do!
How to prepare for a job interview at Anthropic
✨Know Your Stuff
Make sure you brush up on your software engineering fundamentals, especially around distributed systems. Be ready to discuss your past projects and how you've optimised performance in similar roles.
✨Showcase Your Problem-Solving Skills
Prepare for technical questions that test your ability to solve real-world problems. Think of examples where you've tackled challenges in cloud infrastructure or optimised systems for better performance.
✨Understand the Company’s Mission
Familiarise yourself with the organisation's AI research focus. Knowing their recent breakthroughs and how your role fits into their vision will show your genuine interest and help you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.