Ai Researcher - London, United Kingdom - JPMorgan Chase Bank, N.A.

JPMorgan Chase Bank, N.A.

Verified Company

London, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

The goal of J.P.

Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like cryptography, to develop and discover principles of impact to J.P.

Morgan's clients and businesses.

J.P. Morgan AI Research has assembled a team of experts in many fields of AI.

They pursue primary research in areas related to our research pillars as well as concrete problems related to financial services.

They partner with internal teams to accelerate the adoption of AI within the firm. They also work with leading academic faculty around the world on areas of mutual interest.

The team is headquartered in New York and present in London and the Bay Area.

Conducting AI research in financial services offers unique and exciting opportunities for impact - as a member of this highly visible team, you will have the opportunity to realize significant impact not only within J.P.

Morgan but also to the broader AI community.

Responsibilities:

Preferred Qualifications:

PhD in Computer Science (especially AI/ML) or related fields
Research publications in prominent AI/ML venues such as conference or journals, especially in the area of responsible AI such as ACM FAccT; AAAI AI, Ethics and Society; or similar
Strong expertise in fairness, ethics, interpretability, safety,, robustness, and/or privacy in the context of AI/ML, possibly in the context of core AI topics such as deep learning (DL), reinforcement learning (RL), planning, information representation and retrieval, graphs, multiagent systems (MAS), and natural language processing (NLP)
Deep understanding of responsible AI topics such as formal verification techniques for machine learning models; statistical measures of fairness and their relationship with legal, philosophical and sociotechnical concerns; differential privacy; robust machine learning; causal inference; moral ambiguity; strategic classification; and counterfactual analysis
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

Minimum Requirements:

Masters degree or PhD with relevant work experience in Computer Science, Statistics, Engineering or related fields
Extensive programming skills in Python, Julia, Java, C++, or similar programming languages used in production machine learning and data science
Proficient understanding of fundamental AI and ML techniques; e.g., A*, regularization, as well as fairness concepts such as fairnessperformance tradeoffs and statistical metrics of fairness
Practical data science experience with real world data

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 multidisciplinary teams with diverse backgrounds
Interest in solving problems related to fairness, ethics, interpretability, safety,, robustness, and/or privacy in financial services (specific past experience in finance is not required)

J.P.

Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors.

Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.