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- Tasks: Deploy cutting-edge AI models to edge devices and collaborate with researchers.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Enjoy a fully remote role with competitive pay and growth opportunities.
- Other info: Dynamic team environment with opportunities to learn and grow in AI.
- Why this job: Make a real impact by integrating the latest AI advancements into products.
- Qualifications: Strong C++ programming skills and experience with AI model deployment.
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 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
✨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 put in a good word for you.
✨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. Be ready to discuss your experience with transformers and LLMs, as well as any challenges you've faced in productionising models.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior AI Inference Engineer 100% Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in C++ and any experience with Javascript. We want to see how your background aligns with the responsibilities of deploying machine learning models and collaborating with researchers.
Showcase Relevant Experience: When writing your application, emphasise your experience with Llama.cpp and ggml inference engines. We’re keen on candidates who can demonstrate their ability to deploy models to specific GPU architectures, so don’t hold back!
Highlight Your Learning Agility: We love candidates who can quickly pick up new technologies. In your application, mention any instances where you’ve rapidly assimilated new tools or techniques, especially in AI and machine learning.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity as a Senior AI Inference Engineer.
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 models to edge devices 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, prepare examples of how you've successfully collaborated in previous projects. Be ready to discuss how you’ve assisted in coding and transitioning models from research to production environments.
✨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 your adaptability and eagerness to stay ahead in the AI field.
✨Prepare for Technical Questions
Expect some deep dives into deep learning concepts and model architectures. Brush up on transformers, LLMs, and diffusion models. Being able to explain these concepts clearly will demonstrate your expertise and confidence in the subject matter.