Machine Learning Scientist - Quant AI - Senior Associate - Machine Learning Center of Excellence
On-site · Palo Alto, California, United States
Job Summary
Machine Learning Scientist - Quant AI, Senior Associate in JPMorgan Chase's Chief Data & Analytics Office (CDAO). Research, develop, and productionize high-performance machine learning and quantitative models; collaborate with JPMorgan's lines of business to deliver impactful software solutions; design and implement scalable data processing pipelines to optimize business results. Requires a PhD in a quantitative discipline with 2 years of industry experience or an MS with 5 years, and proficiency in C/C++, Java, or Python; deep learning frameworks such as TensorFlow and PyTorch; ML/DL knowledge; ETL and real-time data processing; distributed system design; and cloud familiarity (GCP/AWS/Azure). Federal regulatory note: employment offer contingent on criminal history review per FDIC Act.
Required Qualifications
- PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering) with 2 years of industry experience, or MS with 5 years of experience
- Proficient in programming languages such as C/C++, Java, or Python
- 2 years of experience in software development and data structures
- 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
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