Job Description

State Street’s Automation and Artificial Intelligence is a strategic global team. It is formed under direction of management committee of the company. It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, computer vision and cognitive computing at scale for countless use cases across Alpha, Global Delivery, Global Advisors, Global Markets, and ERM business lines. The team has a mixed of intelligence technology, quantitative modeling, data science, financial engineering, and software engineering capabilities. The team has built solutions for investment and risk management related domains such as market movement, sentiment analysis, valuation, investment strategy, fund innovation as well as operational and client experience related use cases. This team will engage the business to explore, prototype, and solution use cases while also building out a portfolio of foundational micro services in the State Street’s hybrid cloud.

The Senior AI Platform Engineer will participate in cognitive software design and drive implementation and troubleshooting including but not limited to understand business requirement, write program, troubleshoot issue, and support data scientist/Quantitative Modeler.

Responsibilities

• Build enterprise-level AI platform and Data Quality Control platform infrastructure including high performance computing, service mesh, user interface, data management, security etc.
• Work with AI scientists to provide end to end solution based on AI and big data technologies to solve real-world problems for both internal and external customers.
• Responsible for software design, development and production support from ideation to production.
• Responsible for executing unit test cases, regression test cases, performance test, penetration test etc.

Qualifications

• Master degree required in computer science or 5+ years of working experience in related field.
• Solid background in computer science including data structure, algorithm and operating system.
• Rich hands-on software engineering experience for enterprise level systems and proven track of delivering enterprise applications.
• 2+ years of modern, object-oriented or script programming experience like Python, C++, Java, Shell and etc.
• 2+ years of public cloud and/or private cloud software engineering, DevOps, MLOps experience
• 1+ years of experience in microservice architecture and implementation based on main-stream technologies such as Kubernetes, Docker, Spring Cloud, gRPC/thrift, etc..
• Familiar with structured and unstructured data storage and management systems like Snowflake, PostgreSQL Hadoop, Oracle.
• Comfortable with GitHub, continuous integration and deployment tools and agile methodology.
• Highly self-motivated with can-do attitude and willing to learn new things.

Experience in any of the following is highly desirable:

• Software engineering experience in medium or large size asset management company
• Data Science and Machine Learning Frameworks (TensorFlow, PyTorch, Apache Spark / MLlib, etc.)
• Model inference optimization.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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