At a Glance
- Tasks: Enhance code and infrastructure for large-scale ML systems, ensuring reliability and efficiency.
- Company: Join Anthropic, a leading tech company in the heart of Greater London.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Engage in pair programming within a supportive and collaborative culture.
- Why this job: Collaborate with top researchers and engineers to drive machine learning innovation.
- Qualifications: Significant software engineering experience and a passion for machine learning.
The predicted salary is between 60000 - 80000 £ per year.
Anthropic is seeking a Software Engineer based in Greater London, England, to enhance our code and infrastructure, ensuring reliability and efficiency in large-scale ML systems. The role involves collaborating closely with researchers and engineers to align software with research goals.
Ideal candidates have significant software engineering experience and a passion for machine learning research. You will engage in pair programming and contribute to a collaborative engineering culture, utilizing tools like Kubernetes and PyTorch.
Software Engineer, Large-Scale ML Systems & Infra in London employer: Anthropic
At Anthropic, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and hands-on experience with cutting-edge technologies like Kubernetes and PyTorch, making it an ideal environment for those passionate about machine learning. Join us to be part of a team that values your contributions and supports your professional journey in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Large-Scale ML Systems & Infra in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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-scale ML systems. This is your chance to demonstrate your expertise in tools like Kubernetes and PyTorch.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Pair programming is key, so find a buddy to practice with and simulate the interview environment.
✨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 Software Engineer, Large-Scale ML Systems & Infra in London
Some tips for your application 🫡
Show Your Passion for ML:When writing your application, let us see your enthusiasm for machine learning! Share any projects or experiences that highlight your interest and how you've engaged with ML technologies like PyTorch.
Highlight Collaboration Skills:Since we value teamwork, make sure to mention any experiences where you’ve worked closely with others. Talk about pair programming or collaborative projects that demonstrate your ability to align with research goals.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and fit for the role!
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 Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Kubernetes and PyTorch. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects.
✨Show Your Passion for ML
Demonstrate your enthusiasm for machine learning research during the interview. Share specific examples of projects or research that excite you, and explain how they relate to the work at Anthropic.
✨Prepare for Pair Programming
Since pair programming is a key part of the role, practice coding with a friend or colleague. Focus on clear communication and collaboration, as you'll need to demonstrate your ability to work effectively with others.
✨Align with Research Goals
Understand the research goals of Anthropic and think about how your software engineering skills can support those objectives. Be prepared to discuss how you can bridge the gap between engineering and research in your answers.
