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- Tasks: Develop APIs for AI inference and enhance system reliability using cutting-edge technologies.
- Company: A growing tech company in London with a focus on innovation.
- Benefits: Competitive salary, potential equity, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on exciting AI projects that shape the future.
- Qualifications: Experience with machine learning systems and GPU architectures required.
- Other info: Be part of a collaborative environment with great career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A growing technology company based in London is seeking an AI Inference Engineer to join their team. The role involves developing APIs for AI inference, improving system reliability, and exploring LLM optimizations using technologies like Python, Rust, C++, and PyTorch.
Candidates should have experience with machine learning systems and GPU architectures. This position offers competitive compensation including potential equity.
Real-Time AI Inference Engineer | Equity Eligible employer: Pantera Capital
Contact Detail:
Pantera Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time AI Inference Engineer | Equity Eligible
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with APIs and machine learning. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Rust, or PyTorch. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of GPU architectures and LLM optimizations. Practice coding challenges and be ready to discuss your past experiences with machine learning systems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Real-Time AI Inference Engineer | Equity Eligible
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI inference and the technologies mentioned in the job description. We want to see how your skills in Python, Rust, C++, and PyTorch can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and any relevant projects you've worked on that demonstrate your expertise in machine learning systems.
Showcase Your Projects: If you've worked on any cool projects involving APIs or LLM optimizations, make sure to mention them! We love seeing practical examples of your work that align with what we do at StudySmarter.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Pantera Capital
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Rust, C++, and PyTorch. Brush up on your knowledge of APIs for AI inference and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Machine Learning Experience
Prepare specific examples of your experience with machine learning systems. Be ready to explain how you've tackled challenges in system reliability and optimised LLMs. This will demonstrate your hands-on expertise and problem-solving skills.
✨Understand GPU Architectures
Since the role involves working with GPU architectures, make sure you can discuss their importance in AI inference. Familiarise yourself with different architectures and how they impact performance, as this could come up during technical discussions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI inference and their future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
