Lead Software Engineer - ML / Blockchain
at J.P. Morgan
Posted 19 days ago
No clicks
- Compensation
- Not specified
- City
- Jersey City
- Country
- United States
Currency: Not specified
Senior engineering role on an agile Commercial and Investment Banking team at JPMorgan Chase focused on building and productionizing high-performance machine learning and quantitative models. The role involves designing and implementing scalable data processing and ETL pipelines, as well as collaborating with product and business stakeholders to deliver impactful software solutions. Candidates should have hands-on experience with ML frameworks (TensorFlow/PyTorch), real-time data processing, and strong analytical and communication skills. Desired expertise includes computational graphs, hardware accelerators/GPUs, cloud platforms, distributed systems, and domain knowledge in derivatives or portfolio management.
Location: Jersey City, NJ, United States
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 Commercial and 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.
