You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

 

Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 2+ years applied experience BS, MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field. Proficiency in implementing ML models at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Foundational knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong coding knowledge on vector operations using numpy, scipy;  Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Experience of collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills

 

 

Preferred qualifications, capabilities, and skills

 

Knowledge of distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.  Knowledge of distributed data/feature engineering using popular cloud services like AWS EMR Knowledge of large scale training, validation and testing experiments Knowledge of cloud Machine Learning services in AWS i.e. Sagemaker Knowledge of container technology like Docker, ECS etc. Knowledge of Kubernetes based platform for Training or Inferencing