At a Glance
- Tasks: Deploy and optimise machine learning models on edge devices with cutting-edge AI tech.
- Company: Join a pioneering AI technology company leading the way in on-device AI.
- Benefits: Up to £500 per day, fully remote work, and a dynamic team environment.
- Other info: Exciting opportunity for growth in a rapidly evolving field.
- Why this job: Be at the forefront of AI innovation and make a real impact in tech.
- Qualifications: Strong C++ skills and experience with deep learning and model deployment.
I'm working with a cutting-edge AI technology company who are looking for a talented engineer to join their team at the forefront of on-device AI. You'll be working deep in the runtime layer, porting and optimising inference engines to run efficiently on edge hardware.
What You'll Do
- Deploy and optimise machine learning models to edge devices using industry-standard inference frameworks
- Work closely with researchers to help transition models from research into production-ready deployments
- Integrate AI capabilities into existing products, keeping pace with the latest advancements in machine learning
What They're Looking For
- Strong C++ programming skills
- Hands-on experience with open-source inference engines and model deployment
- Solid understanding of deep learning concepts and model architectures
- Experience working with large language models and transformer-based architectures
- A proven ability to pick up new technologies quickly
- A degree in Computer Science, AI, Machine Learning, or a related discipline, with a track record in AI
Generative AI Engineer employer: Formula.
Join a pioneering AI technology company that champions innovation and creativity, offering a fully remote work environment across Europe. With a strong emphasis on employee growth, you will have the opportunity to collaborate with leading researchers and enhance your skills in cutting-edge AI applications. Enjoy a supportive work culture that values your contributions and encourages continuous learning, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and machine learning models. 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 deep learning concepts and inference engines. Practice coding challenges related to AI and be ready to discuss your past experiences with model deployment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented engineers 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 Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your C++ skills and experience with inference engines. 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! Tell us why you’re passionate about AI and how your experience with deep learning and model deployment makes you a perfect fit for our team.
Showcase Your Projects:If you've worked on any cool projects involving large language models or transformer architectures, make sure to mention them! We love seeing practical applications of your skills.
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 updates from our team!
How to prepare for a job interview at Formula.
✨Know Your Tech Inside Out
Make sure you brush up on your C++ programming skills and get familiar with the open-source inference engines mentioned in the job description. Be ready to discuss specific projects where you've deployed machine learning models, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced when transitioning models from research to production. Think of examples where you optimised performance on edge devices, as this will demonstrate your ability to tackle real-world problems effectively.
✨Stay Updated on AI Trends
Since the role involves integrating AI capabilities into existing products, it’s crucial to be aware of the latest advancements in machine learning. Bring up recent developments or breakthroughs in deep learning and how they could apply to the company’s work.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company's projects and future directions. Inquire about their current challenges with model deployment or how they envision the evolution of their AI technologies, which will reflect your enthusiasm for the role.
