Lead Software Engineer - ML / Blockchain

Testing Site - JPMC; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer in the Commercial and Investment Banking team. You will lead an agile group to build, enhance, and deploy trusted market-leading technology products, leveraging deep ML expertise across multiple applications.

You will research and productionize ML models, design scalable data pipelines, and collaborate with product teams to deliver impactful software solutions. Strong communication and teamwork are essential.

Qualifications

• 5+ years of applied software engineering experience.
• Strong knowledge of Machine Learning, Deep Learning and related fields.
• Experience with frameworks like TensorFlow or PyTorch.

Responsibilities

• Research, develop, and productionize high-performance ML models.
• Collaborate with product and business to deliver software solutions.
• Design and implement scalable data processing pipelines to optimize business results.

Skills

ML/AI

Deep Learning

ETL pipelines

Real-time processing

Analytical thinking

Teamwork/Communication

Tools

TensorFlow

PyTorch

Cloud Platforms

Profiling Tools

GPUs

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorgan Chase, within Commercialand Investment Banking team, you will play a key role in an agile team dedicated to building, enhancing, and delivering trusted, market-leading technology products. You will leverage your deep technical expertise and problem-solving skills to address complex challenges across multiple technologies and applications, driving significant business impact through your contributions.

Roles and Responsibilities

• Research, develop, and productionize high-performance machine learning and quantitative models.
• Collaborate with product and business to deliver impactful software solutions.
• Design and implement scalable data processing pipelines to optimize business results.

Required Skills

• Formal training or certification in software engineering concepts and 5+ years of applied experience
• Deep knowledge in Machine Learning, Deep Learning, and related fields.
• Experience with major machine learning frameworks like TensorFlow and PyTorch.
• Skilled in ETL pipelines and real-time data processing.
• Strong analytical and critical thinking skills.
• Self-motivated, with excellent communication and teamwork abilities.

Desired Skills

• Experience with computational graphs and JIT compilation.
• Knowledge of hardware accelerators, GPUs, and profiling tools.
• Familiarity with cloud computing platforms (Google Cloud, AWS, Azure).
• Experience in distributed system design and development.
• Background in derivatives modeling or portfolio management.