Join us to shape the future of technology through AI and machine learning. You will have the opportunity to deliver projects that make a real difference, collaborate with talented teams, and grow your expertise in cutting-edge frameworks. We value your creativity and technical skills, empowering you to solve complex challenges. At JPMorganChase, your contributions help us build smarter, more resilient systems. Discover a workplace where your ideas and growth matter.
As an AI/ML Software Engineer in our team, you will deliver AI/ML projects through the full development life cycle using Agile methodology. You will transform business requirements into technical specifications, define milestones, and ensure timely delivery. You will create secure, high-quality production code and maintain algorithms that integrate seamlessly with our systems. Your role includes producing architecture and design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies.
Job Responsibilities:
- Deliver AI/ML projects through the ML development life cycle using Agile methodology
- Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery
- Execute solutions, design, development, and technical troubleshooting with innovative approaches
- Create secure and high-quality production code, maintaining algorithms that run synchronously with systems
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets
- Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
- Contribute to software engineering communities of practice and events exploring new and emerging technologies
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts
- Experience as a hands-on practitioner developing production AI/ML solutions
- Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT
- Deep knowledge and experience in machine learning and artificial intelligence
- Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis
- Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics
- Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn
- Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars
- Familiarity with AWS Cloud services such as EMR, Sagemaker
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies including CI/CD, application resiliency, and security
Preferred Qualifications, Capabilities, and Skills:
- Exposure to cloud technologies
Skills Required
- Formal training or certification in software engineering concepts
- Hands-on experience developing production AI/ML solutions
- Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, or Auto-GPT
- Deep knowledge and experience in machine learning and artificial intelligence
- Expertise in at least one of large language models, natural language processing, knowledge graphs, computer vision, speech recognition, reinforcement learning, ranking and recommendation, or time series analysis
- Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics
- Knowledge of machine learning frameworks including TensorFlow, PyTorch, PyG, Keras, MXNet, or Scikit-Learn
- Strong programming knowledge of Python and Spark
- Proficiency in vector operations using NumPy and SciPy
- Experience with distributed computation using multithreading, multi-GPU processing, Dask, Ray, or Polars
- Familiarity with AWS services such as EMR and SageMaker
- Knowledge of the software development life cycle
- Understanding of Agile methodologies, CI/CD, application resiliency, and security
- Exposure to cloud technologies
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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