At a Glance
- Tasks: Train and fine-tune AI models for complex sensor data analysis.
- Company: Helsing, a forward-thinking tech company in Greater London.
- Benefits: Competitive salary, relocation support, and comprehensive wellness benefits.
- Other info: Embrace a culture that values innovation and career growth.
- Why this job: Join a diverse team and contribute to ethical technology development.
- Qualifications: MSc or PhD in a relevant field with strong Python skills.
The predicted salary is between 60000 - 80000 € per year.
Helsing, located in Greater London, is seeking an AI Research and Machine Learning Engineer. The role focuses on training and fine-tuning Foundational Models for complex sensor data analysis.
Ideal candidates hold an MSc or PhD in a relevant field, have strong Python skills, and are familiar with DL frameworks like PyTorch and JAX.
Helsing offers a competitive salary, relocation support, and comprehensive wellness benefits, embodying a culture that values diversity and ethical technology development.
Foundational AI Research Engineer - Multimodal & LLMs in London employer: Helsing
Helsing is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that prioritises diversity and ethical technology development. Employees benefit from competitive salaries, comprehensive wellness programmes, and robust opportunities for professional growth, making it an ideal environment for those passionate about advancing AI research and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Foundational AI Research Engineer - Multimodal & LLMs in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning community, especially those who work at Helsing or similar companies. A friendly chat can open doors that a CV alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, or JAX. This gives you a chance to demonstrate your expertise beyond just words on a page.
✨Tip Number 3
Prepare for technical interviews by brushing up on your foundational models knowledge. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Helsing.
We think you need these skills to ace Foundational AI Research Engineer - Multimodal & LLMs in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python skills and experience with deep learning frameworks like PyTorch and JAX. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your application for the Foundational AI Research Engineer position. Mention specific projects or experiences that relate to training and fine-tuning models for sensor data analysis. This helps us see why you’re the perfect fit!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and motivations. Avoid fluff – we want to know what makes you tick!
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’s super easy – just follow the prompts!
How to prepare for a job interview at Helsing
✨Know Your Models
Make sure you brush up on your knowledge of foundational models, especially in the context of multimodal data. Be ready to discuss how you've trained or fine-tuned models in the past, and be prepared to share specific examples of your work with complex sensor data.
✨Show Off Your Python Skills
Since strong Python skills are a must, practice coding problems that relate to AI and machine learning. You might be asked to solve a problem on the spot, so being comfortable with libraries like NumPy and Pandas will definitely give you an edge.
✨Familiarise Yourself with DL Frameworks
Get hands-on experience with PyTorch and JAX if you haven't already. Be ready to explain the differences between them and why you might choose one over the other for specific tasks. This shows that you’re not just familiar but also have practical insights into their applications.
✨Embrace Diversity and Ethics
Helsing values diversity and ethical technology development, so be prepared to discuss how these principles influence your work. Think about examples where you've considered ethical implications in your projects or how you've contributed to a diverse team environment.
