
Global financial services firm
Lead Software Engineer - Platform Engineering
Join JPMorgan Chase's MLCOE to turn cutting-edge AI into production at enterprise scale.
The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
- As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector
- AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Designs, develops and maintains production grade software
- Engineers data pipelines to ingest and transform large volumes of data.
- Feeds processed data into machine learning model pipelines.
- Stores resulting data in data warehouses and data lakes.
- Design sand implements end-to-end machine learning model pipelines, from data input to serving outputs to a large user base.
- Deploys complete systems into production environments.
- Resolves production issues within a 5-hour SLA.
- Adds new features and maintains product code to ensure ongoing system performance and reliability.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code.
- Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance.
- Working with data lakes (Amazon S3) and data warehouses (AWS Redshift).
- Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications.
- Developing dynamic, interactive dashboards with Tableau or Qlik Sense, including advanced visualization, ETL automation, and ODBC connectors.
- Data manipulation, structuring, design flow, and query optimization using SQL and Python.
- Processing large datasets with data containers, multithreading, and multiprocessing in Py Spark and Tensor Flow.
- Developing software or microservices deployed as REST APIs.
- Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue.
- Developing and automating high-performance, large-scale data processing systems.
Preferred qualifications, capabilities, and skills
- Familiarity with recent large language model technologies
- Familiarity with engineering systems using large language models
- Familiarity with LLM tools such as Langchain or Haystack
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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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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