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- Tasks: Lead a team to deploy AI systems on edge devices and ensure seamless integration.
- Company: Framework Ventures, a pioneering company in AI technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong C++ skills, experience with Llama.cpp, and a degree in Computer Science.
The predicted salary is between 70000 - 105000 £ per year.
Framework Ventures in the United Kingdom seeks a leader for a cross-functional team focused on deploying AI systems to edge devices. The ideal candidate has strong C++ skills and experience with Llama.cpp and ggml.
Responsibilities include:
- Working closely with researchers
- Deploying models
- Ensuring high-quality product integration
A degree in Computer Science or related field is essential, along with a passion for AI development. This role also values team management experience and familiarity with deep learning concepts.
Lead Edge AI Inference Engineer employer: Framework Ventures
Contact Detail:
Framework Ventures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Edge AI Inference Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with edge devices. 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 C++ projects, especially those involving Llama.cpp and ggml. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on deep learning concepts and team management strategies. We want to see how you can lead a cross-functional team while deploying cutting-edge AI systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Edge AI Inference Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C++ expertise and any experience with Llama.cpp and ggml in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience with AI systems and team management to show us you’re the perfect fit for our cross-functional team.
Be Passionate About AI: Let your enthusiasm for AI development shine through in your written application. We love candidates who are genuinely excited about the field and can bring that energy to our team.
Apply Through Our Website: For a smooth application process, make sure to apply directly through our website. It’s the best way for us to receive your application and get you on our radar!
How to prepare for a job interview at Framework Ventures
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be ready to discuss specific projects where you've used C++, especially in relation to AI systems. They’ll likely want to see how you can apply your coding skills to real-world problems.
✨Familiarise Yourself with Llama.cpp and ggml
Since the role requires experience with Llama.cpp and ggml, take some time to review these frameworks. Prepare to explain how you've used them in past projects or how you would approach using them in this new role. Showing familiarity will definitely give you an edge.
✨Highlight Your Team Management Experience
This position values team management, so be ready to share examples of how you've led teams in the past. Discuss your leadership style and how you foster collaboration among team members, especially in cross-functional settings.
✨Show Your Passion for AI Development
Let your enthusiasm for AI shine through during the interview. Share any personal projects or research you've done related to AI. This will demonstrate your commitment to the field and your eagerness to contribute to their mission.