2025 AI Research, Associate Program - Internship
2025 AI Research, Associate Program - Internship
Posted on :
18-05-2025
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1 Vacancy
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Job Description
Description
As an Intern in the 2025 AI Research Associate Program within J.P. Morgan AI Research you will be integral to all aspects of the research lifecycle. You will have the opportunity to work on multiple research projects develop models and algorithms and contribute to highimpact business applications. This role offers unique opportunities for impact within J.P. Morgan and the broader AI community
Job responsibilities:
- Conduct endtoend research typically within a specialized focus area.
- Collaborate on multiple research projects with internal and external researchers and applied engineering teams.
- Integrate into all aspects of the research lifecycle including formulating problems gathering data generating hypotheses developing models and algorithms conducting experiments synthesizing results building prototype applications and communicating the significance of your research.
- Deliver output that results in highimpact business applications open source software patents and/or publications in AI/ML conferences and journals.
- Participate in relevant toptier academic conferences as a member of the AI research community to broaden the impact of your contributions.
Required qualifications:
- Currently pursuing a PhD in Computer Science (especially AI/ML) or related field.
- Research publications in prominent AI/ML venues; e.g. conferences journals
- Strong expertise in one or more specialized areas of relevance to AI in Finance e.g. LLMbased Agents multiagent systems reinforcement learning / planning AI search multimodal document analytics AI for coding knowledge representation reasoning under uncertainty taskfocused trustworthy AI cryptography for AI continuous learning from experience image and language processing and understanding largescale complex data analytics synthetic data and behavior understanding
- Practical experience with ML platforms such as Tensorflow/Keras PyTorch etc.
- Comfort with rapid prototyping and disciplined software development processes
- Practical software engineering experience in collaborative project settings
- Extensive programming skills in Python
- Proficient understanding of fundamental AI and ML techniques; e.g. A* regularization
- Practical experience with statistical data analysis and experimental design
Preferred qualifications capabilities and skills:
- Curiosity creativity resourcefulness and a collaborative spirit
- Clear and effective verbal and written communication skills
- Demonstrated ability to work on multidisciplinary teams with diverse backgrounds
- Interest in problems related to the financial services domain (specific past experience in the domain is not required)
Required Experience:
IC
Employment Type
Full-Time
Key Skills
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