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IT Internship - Summer 2027
United States
Familiarize with cloud environments (AWS, Azure) and modern development practices (DevSecOps, CI/CD).
Added just now
Senior Software Engineer - Mid Market Verticals
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Experience with AI technologies like SageMaker, Vertex, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python
Added 10 mins ago
Staff Security Software Engineer
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Advanced proficiency in one or more programming languages (e.g., Python, Go, Java, C++).
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1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
Added 11 mins ago
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Senior AI Engineer
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MA
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Added 11 mins ago
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INTL Senior Python Engineer
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…API design, and modernization of existing applications within AWS…
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Capital One Shopping Tech, Full - stack Engineer 5 (Remote - Eligible)
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 11 mins ago
CrowdStrike Platform Resident Consultant (Remote)
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Added 11 mins ago
Site Reliability Engineer (5757)
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…managing infrastructure across major cloud platforms such as AWS, Microsoft Azure, or Google Cloud, including networking, identity and access management, encryption, security controls, and…
Added 12 mins ago
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Frontier Engineer (AI/Agentic)
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- $100,000 USD / year
…projects using one or more programming languages such as Java, Python, JavaScript, TypeScript, or…
Added 13 mins ago
Software Developer, Journeyperson
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Added 14 mins ago
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Forward Deployment Engineer
TEKsystems
New York, NY
- $80 to $85 USD / hour
Experience building coding agents or developer productivity tools
Added 15 mins ago
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Software Engineer
True Talent Solutions Partners
Salt Lake City, UT
- $90,000 to $185,000 USD / year
- Two to five years of full-stack software engineering experience, with proficiency in Python.
Added 15 mins ago
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Machine Learning Infrastructure Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $400,000 USD / year
- Familiarity with GPU performance optimization and debugging, including CUDA and JAX, and with Python, C++, Linux, and NVIDIA hardware.
Added 15 mins ago
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Senior Platform Security Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $330,000 USD / year
- Proficiency in Python, Go, TypeScript, or another systems-oriented language, with experience building developer tools and automation.
Added 15 mins ago
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Senior Security Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $330,000 USD / year
- Experience with cloud security on GCP or AWS.
Added 15 mins ago
Senior Manager, Full-stack Engineer (Java, Python, AWS)
Capital One
Plano, TX
Lead teams utilizing programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services…
Added 15 mins ago
Full-stack Engineer 4
Capital One
NY · McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
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Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX)
Capital One
McLean, VA · Richmond, VA
Use programming languages like Python, Scala, or Java
Added 15 mins ago
Data Engineer 5 (Senior Manager, IC)
Capital One
NY · McLean, VA · Cambridge, MA
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 15 mins ago
Data Engineer 5
Capital One
NY · McLean, VA · Cambridge, MA
Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Added 16 mins ago
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Engineer- Data Platform
Natural Habitat Adventures
Louisville, CO
- $75,000 to $90,000 USD / year
…business. You will work primarily with Snowflake, SQL, dbt, Python, and cloud-based data services to ingest, model, transform, test, and maintain business data. You will design dimensional…
Added 16 mins ago
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Jr Engineer- Data Platform
Natural Habitat Adventures
Louisville, CO
- $60,000 to $75,000 USD / year
…business. You will work primarily with Snowflake, SQL, dbt, Python, and cloud-based data services to help ingest, transform, test, and maintain business data. You will also work with senior…
Added 16 mins ago
Senior AI & Full-Stack Product Engineer
FDC
Atlanta, GA
Languages & Frameworks: TypeScript/JavaScript, Python, React, Next.js, Node.js or comparable modern frameworks

Closed listing

JPMorgan Chase

Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate

Jersey City, NJ, United States

Base Pay/Salary Jersey City,NJ $137,750.00-$195,000.00

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: Base Pay/Salary Jersey City,NJ $137,750.00-$195,000.00
Posting language: English
Posted: Oct 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate

Jersey City, NJ, United States

and 1 more

Job Information

Job Identification 210801366
Job Category Predictive Science
Business Unit Corporate Sector
Posting Date 10/28/2026, 06:07 PM
Locations 545 Washington Blvd, Jersey City, NJ, 07310, US880 Powder Mill Rd, Wilmington, DE, 19803, US
Job Schedule Full time
Base Pay/Salary Jersey City,NJ $137,750.00-$195,000.00

Job Description

Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.

As a Machine Learning Engineer – Document Digitization (LLMs)- Senior Associate within the Global Technology team, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.

Job responsibilities

Design, develop, and integrate AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.
Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.
Employ generative AI and large language models (LLMs) to automate and optimize document workflows.
Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.
Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).
Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.
Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.
Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.
Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.
Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.
Contribute to communities of practice and explore new and emerging technologies.

Required qualifications, capabilities, and skills

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field, with relevant industry experience.
Proficiency in Python; familiarity with Java and front-end technologies (React.js, AngularJS).
Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.
Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, PyTorch Lightning).
Knowledge of generative AI techniques (GANs, VAEs, transformers, diffusion models) and LLMs.
Experience with AWS services (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon Elastic Kubernetes Service (EKS)), and infrastructure as code (Terraform).
Familiarity with NoSQL and search technologies (MongoDB Atlas, Elasticsearch, OpenSearch, Neo4j).
Experience using autonomous code agents and agentic development workflows for code generation and refactoring.
Understanding of the software development lifecycle (SDLC), continuous integration/continuous delivery (CI/CD), resiliency, and security practices.
Experience deploying and maintaining AI/ML solutions in large-scale production environments; effective problem-solving, communication, and collaboration skills.

Preferred qualifications, capabilities, and skills

Experience in financial services, including investment banking or credit risk operations.
Experience with agentic AI frameworks, prompt optimization, and fine-tuning small language models (SLMs).
Familiarity with distributed computing, data sharing, and distributed data parallel (DDP) training.
Experience in design reviews, code reviews, and mentoring teams.
AWS Generative AI Developer – Professional certification or equivalent.

About Us

JPMorganChase, 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 (https://careers.jpmorgan.com/us/en/how-we-hire/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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