2026 Asset Wealth Management Machine Learning Engineer-Summer Associate

JPMorgan Chase • Jersey City, NJ • 51min ago

Are you ready to make a real impact with cutting-edge AI technology? Join a high-performing team where you'll help build next-generation AI applications and platforms for the Private Bank. You'll work with modern cloud infrastructure, robust engineering practices, and collaborate with talented colleagues across the globe. This is your opportunity to contribute hands-on to meaningful projects and accelerate your career in AI.

As a Machine Learning Engineer Associate Intern in the Asset and Wealth Management AI Engineering team, you will develop and deploy advanced machine learning and generative AI solutions. You will work closely with technology and product partners to address high-impact business challenges, leveraging state-of-the-art models and engineering practices in a collaborative, fast-paced environment.

Job responsibilities:

Develop solutions using large language models for content extraction, search, Q&A, reasoning, and recommendations.

Build comprehensive evaluations and tests to ensure model performance and reliability.

Collaborate with technology and product partners in a fast-paced, distributed environment.

Design and implement scalable data pipelines and deploy model inference services in the cloud.

Experiment, develop, and productionize high-quality machine learning models and services.

Stay current with the latest research and apply emerging techniques to solve business problems.

Required qualifications, capabilities, and skills

Currently pursuing an advanced degree (MS or PhD) in Computer Science, Data Science, or Machine Learning.

Hands-on experience with natural language processing and large language models.

Strong programming skills in Python.

Familiarity with machine learning libraries.

Solid understanding of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.

Excellent communication skills, with the ability to engage senior technical and business stakeholders.

Active participation in university or open-source AI/ML projects.

Preferred qualifications, capabilities, and skills

Exposure to cloud computing platforms such as Amazon Web Services (AWS), Azure, or Kubernetes.

Project or work experience in Natural Language Processing, Reinforcement Learning, or Ranking and Recommendation.

Experience with other high-performance languages is a plus.

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.

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