JPMorganChase · 1 day ago
Applied AI/ML - Senior Associate
Columbus, OH
Full-time
Onsite
Mid, Senior Level
$128K/yr - $195K/yr
3+ years expJPMorganChase is one of the oldest financial institutions, offering innovative financial solutions globally. They are seeking a Senior Associate Machine Learning Scientist specializing in Natural Language Processing to build scalable ML solutions and deliver Generative AI capabilities, collaborating with various teams to translate problems into measurable goals.
Asset ManagementBankingFinancial Services
Responsibilities
Develop and deploy state-of-the-art advanced machine learning systems across NLP, speech recognition, recommendation systems and information retrieval
Design and build agentic AI systems for multi‑step workflows, including tool/function calling, multi‑agent orchestration, planning, grounding, and safety guardrails
Use reinforcement learning (policy optimization, bandits, RLHF‑style approaches where appropriate) to improve personalization, dialog policies, and sequential decision‑making systems
Fine-tune and adapt LLMs/SLMs using PEFT (LoRA, AdaLoRA, IA3), distillation, and quantization; optimize for quality, latency, cost, and production constraints
Select and innovate on ML strategies for various banking problems
Analyze and evaluate the ongoing performance of developed ML systems
Collaborate with multiple partner teams, such as Business, Technology, Product Management, Design, Analytics, and Model Governance to deploy solutions into production
Build domain understanding to identify high-impact opportunities, ensure responsible AI usage, and drive measurable outcomes (customer experience, automation, accuracy, and efficiency)
Implement privacy, safety, and security controls for GenAI systems, including PCI handling/redaction, policy checks, jailbreak resistance, and auditability
Qualification
Required
BS with 5+ years, or MS with 3+ years of hand-on industry experience in building and deploying machine learning systems (NLP/Information Retrieval/Recommendation System and/or GenAI) in production environment
Good understanding of the latest advancement of NLP concepts, such as the transformer architecture, knowledge distillation, transfer learning, and representation learning
Applied GenAI experience with LLMs and the ability to fine‑tune and deploy SLMs for targeted use cases, familiarity with prompt design, grounded generation, and RAG
Experience with scaling LLM systems (caching, batching, prompt/version governance, evaluation harnesses)
Strong foundation in machine learning, deep learning, and statistical modelling, including model evaluation and error analysis
Solid understanding of Information Retrieval concepts (indexing, ranking, dense/sparse retrieval, re-ranking) and/or recommendation systems
Ability to design experiments — establish strong baselines, choose meaningful metrics, and evaluate model performance rigorously
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
Proficiency in Python and common ML libraries (PyTorch/TensorFlow, Hugging Face, scikit-learn), and ability to write production-quality code
Ability to collaborate in cross-functional environments with product, engineering, and control partners
Solid written and spoken communication skills
Preferred
2 years of hands-on experience with virtual assistant model development and optimization
Experience orchestrating multi‑agent teams with supervisor agents, debate/consensus mechanisms, and role‑specialized toolkits for complex enterprise tasks
Building agent governance and eval suites: red‑teaming, adversarial tests, safety scorecards, regression suites for prompts/tools
Experience with RL/bandits, preference optimization, or human feedback loops for personalization
Experience in regulated finance domains and working with risk/control processes
Experience with MLOps/LLMOps: CI/CD for models, monitoring/alerting, model versioning, evaluation of pipelines, and rollback strategies
Experience with A/B experimentation and data/metric-driven product development
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
10001+ employees
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Allison Beer
CEO of Card Services and Connected Commerce
Dan Mendelson
CEO, Morgan Health
Recent News
2026-01-23
2026-01-22
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