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- Tasks: Develop advanced AI products for embedded devices and optimise model architectures.
- Company: Leading AI technology firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, equity, and flexible working hours.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 5+ years in software engineering, strong computer vision knowledge, and Python proficiency.
- Other info: Exciting opportunities for growth in a dynamic tech environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI technology firm in Greater London is looking for a Senior AI Research Engineer to develop advanced AI products for embedded devices. The role focuses on improving algorithms, training multimodal LLMs, and optimizing model architectures.
Candidates should have at least 5 years of experience in software engineering, strong knowledge in computer vision, and proficiency in Python.
The company offers competitive salaries, equity, and flexible working hours.
Senior AI Research Engineer — Edge AI & Multimodal Vision employer: Plumerai
Contact Detail:
Plumerai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Research Engineer — Edge AI & Multimodal Vision
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work in edge AI or multimodal vision. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects related to computer vision and AI algorithms. We all love a good demo, so make sure you can talk through your thought process and results.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python skills and algorithm optimisation techniques. We recommend mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to cutting-edge AI products.
We think you need these skills to ace Senior AI Research Engineer — Edge AI & Multimodal Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 background makes you a perfect fit for developing advanced AI products. Let us know what excites you about this role!
Showcase Your Technical Skills: Since we’re looking for someone with strong Python proficiency and experience with multimodal LLMs, make sure to mention specific tools or frameworks you’ve worked with. We love seeing practical examples of your expertise!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Plumerai
✨Know Your Algorithms
Brush up on the latest algorithms in AI and computer vision. Be ready to discuss how you've improved algorithms in your past roles, as this will show your hands-on experience and understanding of the field.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that relate to AI and multimodal systems.
✨Prepare for Technical Questions
Expect deep technical questions about model architectures and training multimodal LLMs. Review your past projects and be ready to explain your thought process and the outcomes you achieved.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's future projects and technologies. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.
