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- Tasks: Enhance AI model serving platform and deploy large language models.
- Company: Leading AI technology firm promoting diversity and collaboration.
- Benefits: Remote flexibility, generous vacation time, and competitive perks.
- Why this job: Join a dynamic team and make an impact in AI technology.
- Qualifications: Experience with infrastructure management, Kubernetes, and distributed systems.
- Other info: Encourages applicants from all backgrounds to apply.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology firm is seeking Members of Technical Staff to enhance their model serving platform. The role involves deploying large language models, ensuring high availability and performance while collaborating across teams.
Candidates should have extensive experience with infrastructure management, Kubernetes, and distributed systems.
The position promotes diversity and encourages all backgrounds to apply, offering competitive perks including remote flexibility and generous vacation time.
Staff Software Engineer, Inference Infra - Remote in London employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer, Inference Infra - Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insider info on what they’re looking for.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source that highlight your experience with Kubernetes or distributed systems, make sure to showcase them. A portfolio can speak volumes!
✨Tip Number 3
Prepare for the interview like it’s a big game! Research the company’s model serving platform and think about how your experience aligns with their needs. Be ready to discuss how you can enhance their infrastructure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Staff Software Engineer, Inference Infra - Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with infrastructure management, Kubernetes, and distributed systems. 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 excited about enhancing our model serving platform and how your background makes you a perfect fit for the team. Let us know what drives you!
Showcase Collaboration Skills: Since this role involves working across teams, make sure to mention any collaborative projects you've been part of. We love seeing how you’ve worked with others to achieve great results, so share those experiences!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Cohere
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of infrastructure management, Kubernetes, and distributed systems. Be ready to discuss your past experiences with these technologies and how you've used them to solve real-world problems.
✨Showcase Collaboration Skills
Since the role involves working across teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you worked with others to enhance a project or resolve an issue, and be ready to share those stories.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process clearly and concisely, as this will show your analytical thinking and how you approach challenges in model serving platforms.
✨Embrace Diversity and Inclusion
This company values diverse backgrounds, so don’t hesitate to share your unique perspective. Prepare to discuss how your experiences can contribute to a more inclusive environment, and why diversity matters in tech.
