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For Companies At a Glance
- Tasks: Deploy cutting-edge AI models to edge devices and enhance existing products with innovative features.
- Company: Join a forward-thinking tech company that values collaboration and creativity.
- Benefits: Enjoy a fully remote role with competitive pay and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and career advancement.
- Why this job: Be at the forefront of AI technology and make a real difference in product development.
- Qualifications: Strong programming skills in C++, with bonus points for Javascript experience.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Deploy machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx.
- Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments.
- Integrate AI features into existing products, enriching them with the latest advancements in machine learning.
Qualifications
- Excellent programming skills in C++; experience in Javascript is a bonus.
- Strong experience with Llama.cpp and ggml inference engines, facilitating the deployment of models to specific GPU architectures.
- Good understanding of deep learning concepts and model architectures.
- Experience with transformers, LLMs, Diffusion models.
- Demonstrated ability to rapidly assimilate new technologies and techniques.
- A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D.
Bonus points if:
- Experience with Javascript/Typescript.
- Understanding of the difficulties, nuances and importance of P2P technology.
- Experience with Vulkan, Metal and OpenCL.
- Productionized models.
Senior AI Inference Engineer 100% Remote in London employer: Framework Ventures
Contact Detail:
Framework Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Inference Engineer 100% Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those who work with Llama.cpp and ggml. 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 deploying models to edge devices. This will give potential employers a taste of what you can do and how you integrate AI features into products.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ programming skills and deep learning concepts. Practice coding challenges that focus on model architectures and deployment strategies to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior AI Inference Engineer 100% Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in C++ and any experience with Llama.cpp and ggml. We want to see how your background aligns 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 and how your experience can help us integrate cutting-edge features into our products. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any machine learning models or AI projects, make sure to mention them! We love seeing practical examples of your work, especially if they involve deploying models or using deep learning concepts.
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 Framework Ventures
✨Know Your Tech Inside Out
Make sure you’re well-versed in the frameworks mentioned, like llama.cpp and ggml. Brush up on your C++ skills and be ready to discuss how you've deployed machine learning models in the past. If you have experience with Javascript, don’t forget to highlight that too!
✨Showcase Your Collaboration Skills
Since the role involves working closely with researchers, be prepared to share examples of how you've collaborated in previous projects. Talk about how you’ve assisted in coding and transitioning models from research to production, as this will demonstrate your teamwork abilities.
✨Demonstrate Your Learning Agility
The job requires a knack for quickly picking up new technologies. Think of instances where you had to learn something new on the fly and how you applied it effectively. This will show that you can adapt to the fast-paced world of AI and machine learning.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare insightful questions about the company’s current projects, especially regarding AI features integration. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.