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- Tasks: Conduct innovative AI research and collaborate with diverse teams on impactful projects.
- Company: Global financial services firm at the forefront of AI advancements.
- Benefits: Competitive salary, opportunities for publishing, and attendance at top-tier conferences.
- Why this job: Make a real-world impact in AI while advancing your career in a dynamic environment.
- Qualifications: PhD or MSc in Computer Science with strong expertise in AI technologies.
- Other info: Join a leading team driving advancements in AI and ML.
The predicted salary is between 48000 - 72000 £ per year.
A global financial services firm seeks an experienced AI Research Senior Associate to join their AI Research team in London. The role involves conducting innovative research in AI and ML, collaborating with various internal and external teams.
Candidates should possess a PhD or MSc in Computer Science along with strong expertise in AI technologies. You will actively contribute to high-impact projects, publish your findings, and attend top-tier conferences, driving advancements in the field.
AI Research Scientist - Generative AI & Real-World Impact employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Scientist - Generative AI & Real-World Impact
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Showcase your work! Create a portfolio of your research projects, publications, and any relevant presentations. This gives potential employers a clear view of your expertise and contributions to the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your research in detail. We recommend practising common interview questions related to AI and ML to boost your confidence.
✨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 AI Research Scientist - Generative AI & Real-World Impact
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your qualifications, especially your PhD or MSc in Computer Science. We want to see your strong expertise in AI technologies, so don’t hold back on showcasing your skills and experiences that align with the role.
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past research and projects relate to generative AI and real-world impact. This shows us you’re genuinely interested and have done your homework!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured content that’s easy to read. Avoid jargon unless it’s necessary, and make sure your passion for AI shines through!
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Stuff
Make sure you brush up on the latest trends and breakthroughs in AI and ML, especially in generative AI. Be ready to discuss your previous research and how it aligns with the firm's goals. They’ll want to see that you’re not just knowledgeable but also passionate about the field.
✨Showcase Collaboration Skills
Since the role involves working with various teams, be prepared to share examples of successful collaborations from your past. Highlight how you’ve worked with both internal and external stakeholders to drive projects forward. This will show that you can thrive in a team-oriented environment.
✨Prepare for Technical Questions
Expect some deep technical questions related to AI technologies. Brush up on your algorithms, models, and any relevant programming languages. Practising coding problems or discussing your thought process on complex AI challenges can really set you apart.
✨Discuss Your Impact
Be ready to talk about the real-world impact of your research. They’ll want to know how your work has contributed to advancements in AI and how you plan to continue making a difference. Sharing your vision for future projects can demonstrate your commitment to driving innovation.
