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- Tasks: Enhance AI infrastructure and optimise performance for millions of users.
- Company: Leading AI research company in Greater London with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and impactful AI research opportunities.
- Why this job: Join a team making breakthroughs in AI while working with cutting-edge technology.
- Qualifications: Experience in distributed systems, performance optimisation, and Kubernetes familiarity.
- Other info: Dynamic workplace with significant career growth potential.
A leading AI research company is looking for a Staff Software Engineer to join their Inference team in Greater London. In this role, you will enhance AI infrastructure to serve Claude to millions of users while optimizing performance and supporting breakthrough research.
Ideal candidates should have solid experience in distributed systems, performance optimization, and familiarity with Kubernetes.
The position offers a collaborative environment focused on impactful AI research, alongside a competitive salary range of £325,000—£390,000 GBP.
Staff Software Engineer, Inference: Scalable AI Systems employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer, Inference: Scalable AI Systems
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the team culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to distributed systems and performance optimisation. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for software engineers, especially those focusing on AI infrastructure and Kubernetes. Mock interviews with friends can really help us nail it.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Staff Software Engineer, Inference: Scalable AI Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with distributed systems and performance optimisation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 Technical Skills: Don’t forget to mention your familiarity with Kubernetes and any other relevant technologies. We love seeing candidates who can demonstrate their technical prowess and how they’ve applied it in real-world scenarios.
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 this exciting opportunity in our collaborative environment!
How to prepare for a job interview at Anthropic
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of distributed systems and performance optimisation. Be ready to discuss specific projects where you've implemented these technologies, especially in a Kubernetes environment. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach optimising AI infrastructure for millions of users. Practise explaining your thought process clearly and concisely, as this will demonstrate your analytical skills and ability to work under pressure.
✨Emphasise Collaboration
Since the role is in a collaborative environment, be ready to share examples of how you've worked effectively in teams. Highlight any experiences where you contributed to impactful AI research or projects, and how you communicated with team members to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and the Inference team's current projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.
