JPMorganChase
Applied AI ML Lead (NLP/LLM/Graph)
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Applied AI ML Lead (NLP/LLM/Graph)
NLP / LLM Scientist – Applied AI ML Lead
About the Role
The Machine Learning Center of Excellence seeks a cutting-edge AI/ML Scientist to apply advanced machine learning methods—including Natural Language Processing (NLP), Large Language Models (LLMs), and recommendation systems—to solve complex business challenges.
The ideal candidate thrives in a highly collaborative environment, bridging business, technology, and compliance to deploy high-impact ML solutions in production. They must demonstrate a passion for research and learning, with hands-on expertise in deep learning frameworks and a knack for independent innovation in machine learning.
Key Responsibilities
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Research and Innovation:
- Explore and implement state-of-the-art ML algorithms through independent study, conference attendance, experimentation, and knowledge-sharing initiatives.
- Contribute to business deployments, open-source tools, patents, and publications in leading AI/ML conferences and journals.
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Model Development & Deployment:
- Build scalable, production-ready ML models for tasks like NLP, speech recognition, time-series prediction, recommendation systems, and agentic AI/multi-agent systems—ensuring compliance within regulated environments.
- Drive company-wide ML adoption by engineering Enterprise ML frameworks that accelerate model deployment across business units.
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Cross-Functional Collaboration:
- Partner with Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Operations to align ML solutions with firm-wide goals.
- Translate technical innovation into actionable business outcomes, bridging gaps between quantitative rigor and commercial strategy.
Required Qualifications
- Academic Background & Research:
- PhD in Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, supplemented by industry experience, or an MS with extensive research/industry expertise in ML.
- Published research in Machine Learning, Deep Learning, or Reinforcement Learning at a top-tier conference or journal.
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Technical Expertise:
- Deep expertise in NLP, LLMs, and deep learning, backed by practical implementation (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
- Proficiency in experimental design, training frameworks, and metrics evaluation aligned with business KPIs.
- Hands-on experience with agentic AI systems in regulated/compliance-driven environments.
- Exposure to big data pipelines and scalable model training, with a track record of scalable deployments.
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Communication & Problem-Solving:
- Ability to translate complex technical concepts for both technical and non-technical stakeholders.
- Scientific rigor, ability to design autonomous solutions, and motivation for abstract problem-solving in collaborative and independent settings.
Preferred Qualifications
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Domain-Specific Knowledge:
- Background in quantitative finance, search/ranking systems, Reinforcement Learning, or Meta-Learning.
- Experience with recommendation systems, A/B experimentation, and data-driven product development.
- Understanding of regulatory frameworks (e.g., GDPR, financial services compliance).
- Familiarity with cloud-native architectures (AWS/GCP/Java) and CI/CD pipelines, unit testing, and production-grade debugging.
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Soft Skills:
- Self-starter mentality with a curiosity for edge cases, resolved to explore analytical depths.
About MLCOE
The Machine Learning Center of Excellence (MLCOE) is J.P. Morgan’s dedicated hub for advancing AI/ML solutions. The team—comprising multi-disciplinary subject matter experts—collaborates cross-functionally to solve high-impact business problems using cutting-edge methods like Deep Learning and Reinforcement Learning.
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Learn More About MLCOE & AI/ML at J.P. Morgan:
- Official MLCOE pages: jpmorgan.com/mlcoe
- Blog on AI/ML transformational impact: jpmorgan.com/insights/technology
#MLCOE_jobs
About J.P. Morgan
J.P. Morgan is a trusted global leader in financial services, serving corporations, governments, and institutional clients. Guided by our "first-class business in a first-class way" philosophy, we foster long-term partnerships to drive strategic growth and innovation. Our culture values diversity, inclusion, and talent-driven collaboration as core drivers of success.
We are an equal opportunity employer, committed to hiring and retaining a workforce that reflects the communities we serve. We provide accommodations for physical or mental disabilities, and for religious or spiritual practices.
About the Team
Our Corporate Functions (Finance, Risk, HR, Marketing, and Analytics) form the backbone of J.P. Morgan’s operational excellence, ensuring the firm, its clients, and employees thrive. Each member manages high-impact cross-functional engagements, from risk mitigation to product innovation. Our mission: data-driven progress.
Diversity & Inclusion Statement
J.P. Morgan does not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other protected attribute according to local laws. Visit our FAQs for more details.
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