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New York Life Insurance Company NYL Internship: ML/OPS Engineer in New York, New York

Location Designation: [[cust_rolelocationdesignation]]

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

The Center for Data Science and Artificial Intelligence (CDSAi) is the 60-person innovative corporate Analytics group within New York Life, led by Chief Analytics Officer Glenn Hofmann ( https://www.linkedin.com/in/glennhofmann/ ). We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website ( https://www.newyorklife.com/careers/corporate/data-science ).

We are looking to hire summer interns who can start in May / June and work full time hours (40 hours per week). We are looking for either graduate students or recent graduates.

Ideal candidates have or are near completion of a Master’s in Computer Science, Computer Engineering, Software Engineering or related field. As a member of our ML/OPS team you will have the opportunity to gain real-life work experience, develop your skills, and begin building a network in a professional environment.

You will need great skills in one of the following: SQL, R, Python or other related languages. In addition, you must have working knowledge of Linux and cloud related platforms such as AWS. Familiarity with Spark, PySpark, AWS redshift and exposure to ML frameworks is ideal.

Qualifications

  • Recipient or near completion of a Master’s in Computer Science/Computer Engineering or another relevant field

  • Exposure and experience with machine learning

  • Good data engineering skills

  • Fluency in one of: SQL, Python, R, Scala, Java

  • Strong business sense

  • Self-directed and independent

Compensation is competitive. Relocation / housing support will not be provided.

The position is located either in Manhattan (Madison Ave and 27th St, walking distance from Penn Station and Grand Central Station) or remote.

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation (https://www.newyorklife.com/foundation) . We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn (https://www.linkedin.com/company/newyorklife/) , our Newsroom (https://www.newyorklife.com/newsroom/) and the Careers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .

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Salary range: [[cust_salaryRangePosting]]

Overtime eligible: [[customString6]]

Discretionary bonus eligible: [[cust_merit]]

Sales bonus eligible: [[stockPackage]]

Click here to learn more about ourbenefits (https://www.newyorklife.com/careers/corporate/benefits) . Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation (https://www.newyorklife.com/foundation) . We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visitLinkedIn (https://www.linkedin.com/company/newyorklife/) , ourNewsroom (https://www.newyorklife.com/newsroom/) and theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .

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