Sr. Staff Machine Learning Engineer - Applied AI/ML Lead

Key Skills

mobile programming, Java Programming, Python Programming, SQL, Azure, Big Data Technology, Apache Hadoop, Apache Kafka, PyTorch, TensorFlow, Docker, Kubernetes-K8s, SPARK Programming

Job Description

JPMorgan Chase & Co. (JPMC), one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.

JPMC's history spans over 200 years and today it is the leading global financial services firm with assets of $2 trillion, and operations in more than 60 countries. It is on a transformational journey to be the client-centric technology driven company. With an annual technology budget of $10B+, it has started significant investments in building the next generation core/secure data, and machine learning (ML) infrastructure to solve real-world financial problems using AI technologies.

At JPMC, you will be working alongside a very talented team of engineers and researchers on state-of-the-art AI initiatives to solve exciting business problems in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Responsibilities

• Drive advances in the field of speech recognition (including acoustic modeling, language modeling), speech synthesis, natural language understanding by developing state-of-the-art machine (deep) learning models.
• Collaborate with all of JPMorgan's lines of business and functions to deliver high quality, scalable ML powered software solutions or services that make significant business impact
• Design and implement highly scalable and reliable data processing pipelines and perform analyses and insights to drive and optimize business result.

Minimum Qualifications

• MS or PhD degree in Computer Science, Electrical Engineering, Machine Learning or related areas.
• Proficiency in one of the machine (deep) learning frameworks (e.g. PyTorch, PyTorch Lightening, TensorFlow)
• Extensive experience in scripting languages as Python (not limited to) with strong software engineering skills to scale, and optimize systems.
• Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics; experience in speech signal processing
• Strong analytical and critical thinking skills.
• Outstanding communication skills with ability to work well in a collaborative and dynamic environment.

Preferred Qualifications

• Experience with CPU, GPU architecture and high performance compilers such as XLA.
• Cloud computing: Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes.
• Familiar with big data technologies: Hadoop, Hive, Spark, Kafka, and experience in distributed system design and development