Machine Learning Internship

Morgan Stanley is looking for a highly motivated individual to join our Machine Learning team as an Intern. Our ideal candidate would have experience in working in a fast-paced, dynamic environment, and a desire to develop cutting-edge machine learning solutions. The successful candidate will be passionate about developing and deploying machine learning models to solve real-world problems.To be eligible for this role, you must have a basic understanding of machine learning algorithms and techniques, as well as proficiency in at least one major programming language such as Python, R, or Java. Additionally, the candidate should have a deep understanding of mathematics and statistics, as well as experience with data analysis, data visualization, and machine learning frameworks.We’re seeking an individual who is able to work independently but also collaborate with a team of diverse professionals. The successful candidate must have excellent problem-solving and communication skills, a strong commitment to learning, and a desire to work in a fast-paced environment. If you have a passion for machine learning and a strong work ethic, we want to hear from you!

Responsibilities:

• Develop and deploy machine learning models to solve real-world problems
• Utilize machine learning algorithms and techniques
• Program in Python, R, or Java
• Deep understanding of mathematics and statistics
• Analyze and visualize data
• Utilize machine learning frameworks
• Work independently and collaboratively in a team environment
• Excellent problem-solving and communication skills
• Commitment to learning new technologies
• Ability to work in a fast-paced environment

According to JobzMall, the average salary range for a Machine Learning Internship in New York, NY, USA is $76,000 - $124,000 per year. This range is based on the salaries of Machine Learning Interns who have submitted their salary information to JobzMall.

Morgan Stanley provides investment banking products and services to its clients and customers including corporations, governments, financial institutions, and individuals. It operates through the following business segments: Institutional Securities, Wealth Management, and Investment Management. The Institutional Services segment provides financial advisory, capital-raising services, and related financing services on behalf of institutional investors.