
Global financial services firm
Applied AI ML Researcher Lead
福利厚生
•健康保険
•401k
•ストックオプション
•メンタルヘルスサポート
•Learning Budget
•育児休暇
必須スキル
Artificial Intelligence
Machine Learning
Generative AI
Agentic AI
Data Analysis
Experimental Design
Distributed Computing
Team Leadership
Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act , and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.
As an Applied AI ML Researcher Lead in the CIB Applied AI ML Research team, you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
Job Responsibilities:
-
Architect and develop GenAI and agentic solutions to automate complex operational processes
-
Assist Lines of Business and teams to directly solve priority use cases within the domain
-
Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
-
Design and build services and libraries that AI teams want to use
-
Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
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Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
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Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact
Required Qualifications, Capabilities, and Skills:
-
PhD in Computer Science or a related quantitative discipline with 3+ years of relevant experience orMS in Computer Science or a related field with 5+ years of relevant experience
-
Research experience or work in a top commercial AI research lab
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Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
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Proven track record of deploying AI/ML applications in a production environment at scale
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Familiarity with distributed computing patterns for training, serving, and persistence of state
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Experience integrating user feedback to establish agentic refinement and self-improving AI applications
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Experience in building and leading high-performing AI teams
Preferred Qualifications, Capabilities, and Skills:
- Experience deploying models on AWS platforms such as Sage Maker or Bedrock will be strongly considered, but not required
#CIBAppliedAI
ABOUT US
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM:
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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JPMorgan Chaseについて

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
従業員数
New York City
本社所在地
$500B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.5
報酬
4.0
企業文化
3.8
キャリア
3.2
経営陣
2.8
68%
知人への推奨率
良い点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
改善点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
給与レンジ
44件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1件のレポート
$139,000
年収総額
基本給
$107,000
ストック
-
ボーナス
-
$139,000
$139,000
面接レビュー
レビュー4件
難易度
3.0
/ 5
期間
14-28週間
内定率
50%
体験
ポジティブ 25%
普通 75%
ネガティブ 0%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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