At a Glance
- Tasks: Conduct cutting-edge AI research and develop explainable models for financial services.
- Company: Join J.P. Morgan's innovative AI Research team with a global presence.
- Benefits: Competitive salary, professional development, and opportunities to publish your research.
- Other info: Dynamic research environment with opportunities for significant career growth.
- Why this job: Make a real impact in AI while collaborating with top experts in the field.
- Qualifications: PhD or Masters in Computer Science, strong programming skills, and a passion for AI.
The predicted salary is between 70000 - 90000 £ per year.
About the Role
J.P. Morgan AI Research aims to advance cutting-edge AI research and discover principles impactful to J.P. Morgan's clients and businesses. The firmwide Explainable AI Center of Excellence (XAI COE) was recently established, bringing together researchers and practitioners to develop novel techniques, tools, and frameworks for AI/ML model explainability. The XAI COE team consists of XAI experts who conduct primary research to advance the state-of-the-art, publish in top AI/ML venues, partner with internal teams to accelerate AI adoption, and collaborate with leading academic faculty globally on XAI. The team operates in New York, London, and the Bay Area. Conducting AI research in financial services offers unique opportunities for significant impact within J.P. Morgan and the broader AI community.
Responsibilities
- Work on multiple research projects in collaboration with internal and external researchers and with applied engineering teams.
- Be integral to all aspects of the research lifecycle, including formulating problems, generating hypotheses, developing new algorithms and models, conducting experiments, synthesizing results, gathering data, building prototypes, and communicating research significance.
- Produce outputs such as publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents.
- Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of contributions.
Preferred Qualifications
- PhD in Computer Science (especially AI/ML) or related fields.
- Research publications in prominent AI/ML venues (e.g., conferences, journals).
- Strong expertise, interest, and track record of performing cutting-edge research on Explainable AI (XAI).
- Practical experience with ML platforms such as Tensorflow/Keras, PyTorch.
- Comfort with rapid prototyping and disciplined software development processes.
- Practical software engineering experience in collaborative project settings.
Minimum Requirements
- Masters degree in Computer Science, Statistics, Engineering or related fields.
- Programming skills in Python, Java or C++.
- Proficient understanding of fundamental AI and ML techniques; e.g., A*, regularization.
- Practical experience with statistical data analysis and experimental design.
Professional Skills
- Curiosity, creativity, resourcefulness, and a collaborative spirit.
- Effective verbal and written communication skills with technical and business audiences.
- Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
- Interest in problems related to the financial services domain (specific past experience in the domain is not required).
Explainable AI Researcher employer: Gravity Engineering Services Pvt Ltd.
J.P. Morgan is an exceptional employer for an Explainable AI Researcher, offering a dynamic work culture that fosters innovation and collaboration among top-tier researchers and practitioners in the field of AI. Located in major hubs like New York, the firm provides unparalleled opportunities for professional growth through access to cutting-edge projects, participation in leading academic conferences, and the chance to make a significant impact in the financial services sector. With a commitment to employee development and a focus on advancing AI research, J.P. Morgan stands out as a rewarding place to build a meaningful career.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Explainable AI Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the AI research community, especially those connected to J.P. Morgan. Attend conferences, workshops, and meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any open-source contributions. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your explainable AI knowledge and practical experience with ML platforms. Be ready to discuss your past projects and how they relate to the role at J.P. Morgan.
✨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, it shows you're serious about joining the team.
We think you need these skills to ace Explainable AI Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Explainable AI Researcher role. Highlight your research publications and any relevant projects you've worked on, especially those involving XAI or ML techniques.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI research and how your background makes you a great fit for our team. Be specific about your experience with algorithms, models, and any collaborative projects you've been part of.
Showcase Your Communication Skills:Since effective communication is key in this role, make sure your application materials are clear and concise. Use straightforward language to explain complex concepts, demonstrating your ability to engage with both technical and business audiences.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people and allows us to review your materials efficiently. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your XAI Stuff
Make sure you brush up on the latest trends and techniques in Explainable AI. Be ready to discuss your past research and how it relates to the role. J.P. Morgan is looking for someone who can contribute to their cutting-edge projects, so show them you’re up to speed!
✨Showcase Your Collaboration Skills
Since this role involves working with both internal teams and external researchers, highlight your experience in collaborative settings. Share examples of how you've successfully worked in multi-disciplinary teams and how you communicate complex ideas to different audiences.
✨Prepare for Technical Questions
Expect some technical questions related to AI/ML algorithms and programming. Brush up on your Python, Java, or C++ skills, and be ready to discuss your experience with ML platforms like TensorFlow or PyTorch. They might even ask you to solve a problem on the spot!
✨Engage with Their Mission
Research J.P. Morgan's AI initiatives and think about how your work can align with their goals. Show genuine interest in how your expertise can help advance their AI research and impact their clients. This will demonstrate your enthusiasm for the role and the company.
