Senior Machine Learning Engineer- Python Environment

JPMorgan Chase
JPMorgan Chase

Job Overview

Job Description

As an experienced member of our Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You’ll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

JPMC is hiring the best talents to join the newly-formed Asset and Wealth Management AI Engineering team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for a self-starter senior engineer and ML expert who is excited about the opportunity.


  • Collaborate with all of JPMorgan AWM’s lines of business and functions to deliver software solutions.
  • Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
  • Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business results.

This role requires a wide variety of strengths and capabilities, including:

  • BS/BA degree or equivalent experience
  • Expertise in application, data, and infrastructure architecture disciplines
  • Advanced knowledge of architecture and design across all systems
  • Proficiency in multiple modern programming languages
  • Knowledge of industry-wide technology trends and best practices
  • Keen understanding of financial control and budget management
  • Ability to work in large, collaborative teams to achieve organizational goals
  • Passionate about building an innovative culture
  • Solid Python programming skills
  • Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
  • Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
  • Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn.
  • Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB.
  • Strong analytical and critical thinking skills.
  • Experience with Quanititative Computing and Analysis
  • Self-motivation, great communication skills and team player.
  • Experience with one of the cloud computing platforms preferred: Google Cloud, Amazon Web Service, Azure, Kubernetes.
  • Experience in big data technologies preferred: Hadoop, Hive, Spark, Kafka.
  • Experience in distributed system design and development preferred.
  • MS or PhD degree in Computer Science, Statistics, Mathematics or Machine Learning preferred
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