Career Central

Connecting people since 1887
Leverage our network to build your career.
Tell us about your professional DNA to get discovered by any company in our network with opportunities relevant to your career goals.

Lead Machine Learning Engineer

New York Life Insurance

New York Life Insurance

Software Engineering
New York County, NY, USA
Posted on Tuesday, January 30, 2024

Location Designation: Hybrid

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)

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

You willhttps://www.linkedin.com/in/boris-simanovich/)


  1. Responsible for design and development of production grade Machine Learning solutions
  2. Ensuring all ML code conforms to software engineering best practices and coding standards
  3. Help set ML engineering standards (development stack, sample starter projects, etc.)
  4. Implementation of models with debugging, scaling and monitoring in mind
  5. Mentor engineers and data scientists in applying software engineering to ML problems
  6. Help set up ML experiments for server-based hyperparameter tuning
  7. Work with MLOps Engineers to develop pipelines and tools to automate model deployment
  8. Mentor ML Engineers and Data Scientists in proper development practices via Pull Requests
  9. Collaborate with the team on architecture and implementation
  10. Expertise in developing solution architectures that integrate ML models into real-world systems
  11. Hands-on prototyping of new technology and AI solutions
  12. Collaborate with product managers, data scientists and other engineers
  13. Review code to ensure solutions are properly designed and implemented
  14. Stay up to date with the latest AI trends/emerging technologies and look for opportunities to improve the stack
  15. Current understanding of LLMs and their use
  16. Effectively articulate information and ideas to a diverse group of people

Required qualifications

  • 7+ years of experience in Lead Software Engineering position with at least 3-years hands on with implementing AI/ML solutions
  • Expert in Python, including experience with machine learning libraries and frameworks such as sklearn, TensorFlow, PyTorch, or Keras
  • Understanding of containerization (Docker & Linux experience)
  • Experience optimizing/tuning models
  • Understanding of GPU acceleration techniques
  • Passionate about technology transformations, innovation, and continuous improvement
  • Experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
  • Strong knowledge of data structures, algorithms, and software engineering principles
  • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake
  • Experience with cloud compute environments (AWS) along with cloud-native tools
  • Experience with Agile/Scrum methodology and best practices
  • Graduate-level degree in computer science, engineering, or relevant work experience


  • Previous work experience with Generative AI
  • Understanding of use and implementation of Vector Databases
  • Kubernetes container orchestration experience
  • Insurance industry experience

Salary range: $132,500-$197,500

Overtime eligible: Exempt

Discretionary bonus eligible: Yes

Sales bonus eligible: No

Click here to learn more about our 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. 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, our Newsroom and the Careers page of www.NewYorkLife.com.

Job Requisition ID: 89277