JP Morgan Chase & Co.

Lead Machine Learning Engineer

JP Morgan Chase & Co. • $150K — $180K *
New York, NY 10001In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • BS in Computer Science or related field with 6+ years of experience or MS with 4+ years of experience
  • Extensive experience in Python and cloud computing with ML frameworks
  • Strong knowledge in data science fundamentals, model training and deployment
  • Experience using monitoring and observability tools for model assessment
  • Operational knowledge of big data/ML tools like Ray and Spark
  • Solid understanding of engineering principles and enterprise system design

Responsibilities

  • Build, deploy, and maintain robust pipelines for distributed model training
  • Develop and manage pipelines for model promotion and associated capabilities
  • Optimize training throughput for large datasets
  • Establish integrations for model monitoring and observability
  • Collaborate to integrate new technologies and enhance ML platform capabilities
  • Design robust solutions with product, architecture, modeling, and engineering teams

Benefits

  • Collaborative team environment with high-caliber professionals
  • Opportunity to work on large-scale ML systems and advanced technologies
  • Potential for professional growth within the Digital Intelligence team
  • Focus on improving operational workflows and model performance
  • Access to cutting-edge tools and methodologies in machine learning
Full Job Description
JOB DESCRIPTION

In this role, you’ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You’ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.

As Lead Machine Learning Engineer on the Digital Intelligence team, you will be collaborating with a high-caliber team of software developers and deep learning experts, you’ll build and maintain pipelines for distributed model training on large compute clusters, hyperparameter tuning at scale, model monitoring, design and develop ML frameworks and components used for various model implementations.

 

Job responsibilities 

  • Build, deploy, and maintain robust pipelines for distributed training on GPU-enabled clusters to support scalable machine learning workflows. 
  • Develop and manage pipelines for model promotion and other capabilities related to MDLC.
  • Optimize training throughput for large data sources 
  • Establish and maintain integrations to platforms and tools related to model  monitoring and observability
  • Collaborate with cross-functional teams to integrate new technologies and improve the capabilities of our ML Platform. 
  • Partner with product, architecture, modeling, and engineering to design robust solutions that power our Digital channels

  

Required qualifications, capabilities, and skills 

  • BS  in Computer Science or related Engineering field with 6+ years of experience Or MS degree in Computer Science or related Engineering field with 4+ years experience. 
  • Solid knowledge and extensive experience in Python  and in cloud computing, along with ML frameworks (i.e. pytorch, tensorflow)
  • Deep knowledge and passion for data science fundamentals, training and deploying models 
  • Experience in monitoring and observability tools to monitor model input/output and features stats 
  • Operational experience in big data/ML tools such as Ray, Spark and in training/inference systems such as Ray, vllm/SGLang 
  • Solid grounding in engineering fundamentals and enterprise system design

 

Preferred qualifications, capabilities, and skills  

  • Experience with recommendation and personalization systems is a plus. 
  • CUDA experience is a big plus
  • Solid fundamentals and experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc] 
  • Good knowledge of data storage solutions and strategies (online and offline)

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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