Machine Learning Engineer Lead (Director Level)

JobID: 210457013

Category: Predictive Science

JobSchedule: Full time

Posted Date: 2024-05-15T19:27:03+00:00

JobShift:

Base Pay/Salary: Palo Alto,CA $200,000.00-$325,000.00

The Digital Intelligence team's mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical and wide-range customer products. The number of products and practice areas is large and far-reaching, i.e. we work on products that are impactful to our millions and millions of customers and households. We value our customers' direct feedback and function in a truly agile way to incorporate changes to improve application experience.

As a Lead Machine Learning Engineer within our Consumer & Community Banking team, you will collaborate on exciting end-to-end machine learning challenges and solutions. You will tackle large scale relevance and ranking issues, engineer scalable features, and participate in ML Ops tasks to construct entirely new systems that will benefit our millions of Chase customers across all business lines

Job Responsibilities:

• Lead complex projects that require cross-organizational alignment and collaboration

• Analyze complex datasets used to make decisions regarding real-world applications

• Investigate the applicability of new approaches to business problems and products by combining theory and experimentation

• Write software code that is built and deployed in production systems

• Anticipate and consider risks when building machine learning solutions and prediction/classification systems

• Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.

• Work transparently cross-functionally and influence your peers to do the same.

Required qualifications, capabilities and skills:

• Master's degree with 10+ years of experience of or Ph.D. with 8+ years of experience in Computer Science or Machine Learning related degree with good internships and about 8 or so years of work experience

• Expert in one or more of the following: machine learning, Graph learning, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps

• Comfortable conducting design and code reviews

• Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment

Preferred qualifications, capabilities and skills :

• A strong technical advocate with a background in Java or Scala, and Python.

• Comfortable working in a cloud environment like AWS/GCP or Azure

• Passionate about working with large unstructured and structured datasets