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- Tasks: Develop advanced AI products focusing on multimodal LLMs and deep learning model optimisation.
- Company: Cutting-edge AI company based in Greater London.
- Benefits: Competitive salary, generous equity options, and relocation assistance.
- Other info: Flexible working arrangements with in-office presence required twice a week.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: 5+ years in software engineering with Python, PyTorch, and TensorFlow experience.
The predicted salary is between 48000 - 72000 £ per year.
A cutting-edge AI company in Greater London is seeking a Senior AI Research Engineer to develop advanced AI products, focusing on multimodal LLMs and deep learning model optimization.
Candidates should have over 5 years of experience in software engineering, particularly with Python and frameworks like PyTorch and TensorFlow.
The role offers competitive salary, generous equity options, and relocation assistance. Flexibility in working arrangements is available, requiring in-office presence twice a week.
Senior AI Research Engineer — Edge ML & Multimodal CV employer: Plumerai
Contact Detail:
Plumerai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Research Engineer — Edge ML & Multimodal CV
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, especially those working with multimodal LLMs or deep learning. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, PyTorch, and TensorFlow. This is your chance to demonstrate your expertise in software engineering and edge ML—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and deep learning. Be ready to discuss your past experiences and how they relate to the role. We want to see your passion for developing advanced AI products!
✨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 Senior AI Research Engineer — Edge ML & Multimodal CV
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in software engineering. We want to see how you've used Python and frameworks like PyTorch and TensorFlow in your previous roles, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences that align with the Senior AI Research Engineer role. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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 in our cutting-edge AI team.
How to prepare for a job interview at Plumerai
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the frameworks mentioned, like PyTorch and TensorFlow. Brush up on your knowledge of multimodal LLMs and deep learning model optimisation, as these will likely be hot topics during your interview.
✨Showcase Your Experience
With over 5 years of experience required, be ready to discuss specific projects you've worked on. Highlight your contributions and the impact they had, especially in areas related to edge ML and AI product development.
✨Prepare for Technical Questions
Expect some technical challenges or coding tests. Practise common algorithms and data structures, and be prepared to solve problems on the spot. This will demonstrate your problem-solving skills and technical prowess.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s future projects or their approach to AI. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.