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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 employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer, Inference Infra - Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve worked on projects involving Kubernetes or distributed systems, create a portfolio or GitHub repo. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to model serving and infrastructure management. Practising with a friend can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us!
We think you need these skills to ace Staff Software Engineer, Inference Infra - Remote
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 Your Collaboration Skills: Since this role involves working across teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We love seeing candidates who can work well in a team environment!
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!
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, be prepared to share examples of how you've successfully collaborated in previous projects. Highlight your communication skills and how you’ve navigated challenges in a team setting.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Practice coding challenges or system design scenarios related to model serving platforms. This will help you articulate your thought process clearly during the interview.
✨Embrace Diversity and Inclusion
This company values diverse backgrounds, so don’t hesitate to share your unique perspective. Discuss how your experiences can contribute to a more inclusive environment and how you can bring fresh ideas to the table.
