採用
Benefits & Perks
•Healthcare
•401(k)
•Mental Health
•Learning Budget
•Parental Leave
•Healthcare
•401k
•Mental Health
•Learning
•Parental Leave
Required Skills
Python
Java
Machine Learning
Deep Learning
Generative AI
LLMs
NLP
Prompt Engineering
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
- As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology
- Public Cloud Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering, you will lead hands-on architecture, development, and production deployment of ML and LLM-powered solutions. You'll apply strong engineering practices, rigorous experimentation, and responsible AI methods to deliver high-impact capabilities for our businesses, partnering across a global, multidisciplinary team.
Job responsibilities
- Design and implement end-to-end ML and LLM solutions, from problem framing and data preparation through training, evaluation, deployment, and ongoing optimization.
- Apply modern GenAI workflows, including prompt engineering techniques, tracing, evaluations, guardrails, and safety frameworks to align model behavior with business objectives and risk controls.
- Productionize high-quality models and pipelines on public clouds, leveraging Kubernetes for container orchestration where appropriate.
- Establish robust offline and online evaluation methodologies, including intrinsic and extrinsic metrics (e.g., relevance, safety, latency, cost efficiency), and integrate automated testing/monitoring.
- Collaborate closely with product, platform, security, controls, and business stakeholders across a geographically distributed organization; provide technical mentorship and code reviews.
- Document solution designs and decisions; contribute to reusable components, patterns, and best practices for ML/GenAI in public cloud environments.
- Optimize for cost, performance, and resilience; incorporate data privacy, compliance, and responsible AI considerations throughout the lifecycle.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- MS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning; strong background in mathematics and statistics.
- Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.
- Hands-on experience with GenAI/LLMs (e.g., GPT, Claude, Llama or similar), including prompt engineering, tracing, evaluations, and guardrails.
- Solid background in NLP and Generative AI; strong understanding of ML and deep learning methods and large language models.
- Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, Tensor Flow, Py Torch, Num Py, scikit-learn, pandas).
- Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.
- Experience designing experiments, training frameworks, and metrics aligned to business goals.
- Expertise with at least one major public cloud (AWS, GCP, or Azure) and with containerization/orchestration (Docker/Kubernetes).
- Strong grounding in data structures, algorithms, ML, data mining, information retrieval, and statistics.
- Excellent communication skills, with the ability to engage senior technical and business partners.
Preferred qualifications, capabilities, and skills
- Depth in one or more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.
- Additional familiarity with ML frameworks (e.g., Py Torch, Keras, MXNet, scikit-learn).
- Understanding of financial services or wealth management domains.
- Desirable: Contributions to open-source ML/LLM tooling; certifications in AWS, Azure, GCP, or Kubernetes.
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:
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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