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- Tasks: Innovate AI products using real-time data and collaborate across domains.
- Company: Forward-thinking AI company in Greater London with a dynamic team culture.
- Benefits: Generative workplace that values adaptability and bold thinking.
- Why this job: Make a real-world impact through cutting-edge AI research and development.
- Qualifications: PhD in computer science and 4-5+ years of industry experience required.
- Other info: Join a team that encourages innovation and offers exciting career growth.
The predicted salary is between 43200 - 72000 £ per year.
A forward-thinking AI company in Greater London is seeking a Research Scientist to innovate on products utilizing real-time data. Ideal candidates will have a PhD in computer science and 4-5+ years of industry experience, particularly in model efficiency and algorithm development.
The role emphasizes cross-domain collaboration to achieve system efficiency and aims for real-world impacts. The company fosters a dynamic team environment and encourages bold thinking, offering a generative workplace that values adaptability.
Research Scientist: Real-Time AI that Learns and Impacts employer: Adaption
Contact Detail:
Adaption Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist: Real-Time AI that Learns and Impacts
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to model efficiency and algorithm development. This is your chance to demonstrate your real-world impact and innovative thinking.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and scenarios that highlight your cross-domain collaboration experience.
✨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 Research Scientist: Real-Time AI that Learns and Impacts
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant industry experience in your application. We want to see how your background in model efficiency and algorithm development can contribute to our innovative projects.
Be Bold and Creative: Don’t be afraid to showcase your unique ideas and approaches in your written application. At StudySmarter, we value bold thinking and creativity, so let your personality shine through!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences that align with the role. We’re looking for candidates who understand the importance of cross-domain collaboration and can articulate how they can make a real-world impact.
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to review your materials and get you into the process quickly!
How to prepare for a job interview at Adaption
✨Know Your Algorithms
Brush up on your knowledge of model efficiency and algorithm development. Be ready to discuss specific algorithms you've worked with, how you optimised them, and the real-world impacts they had. This shows your expertise and ability to innovate.
✨Showcase Cross-Domain Collaboration
Prepare examples of how you've successfully collaborated across different domains. Highlight any projects where teamwork led to improved system efficiency. This will demonstrate your adaptability and fit within a dynamic team environment.
✨Think Boldly
The company values bold thinking, so don’t shy away from sharing innovative ideas or unconventional approaches you've taken in past projects. This can set you apart and show that you're aligned with their forward-thinking culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future goals. This not only shows your genuine interest but also gives you a chance to assess if the company’s vision aligns with your career aspirations.
