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- Tasks: Design AI architectures and develop training pipelines for multimodal and video models.
- Company: Leading AI technology company focused on innovation and real-world applications.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong background in Computer Science, Python, PyTorch, and experience with data modalities.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI technology company is seeking a Senior Research Engineer to drive innovation in multimodal and video foundation models. The successful candidate will design AI architectures, develop training pipelines, and collaborate cross-functionally to translate research into real-world applications.
This role demands a strong background in Computer Science, expertise in Python and PyTorch, and experience with various data modalities. A PhD is a plus but not required.
Senior Multimodal & Video Foundation AI Engineer in London employer: Tether.io
Contact Detail:
Tether.io Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Multimodal & Video Foundation AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving multimodal and video models. This gives us a tangible way to see what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and PyTorch skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with technical questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Multimodal & Video Foundation AI Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and PyTorch in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with multimodal and video foundation models!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their background with what we’re looking for, so make it personal and relevant!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to the job. Avoid fluff and focus on what matters!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Tether.io
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and PyTorch, as these are crucial for the role. Brush up on your knowledge of AI architectures and training pipelines, and be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Multimodal Experience
Since the job focuses on multimodal and video foundation models, prepare examples of your work with different data modalities. Be ready to explain how you approached challenges in these areas and the impact of your solutions.
✨Collaboration is Key
This role involves cross-functional collaboration, so think of instances where you’ve worked with diverse teams. Highlight your communication skills and how you’ve successfully translated research into practical applications.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company’s current projects in AI and their vision for the future. This shows your genuine interest and helps you assess if it’s the right fit for you.
