What are the responsibilities and job description for the Machine Learning Engineer position at Munich Re?
Company
Munich Re Life US
Location
New York , United States
Position Overview
Munich Re sees the use of medical data as instrumental in enhancing the customer experience and expanding insurability for life insurance. Integrated Analytics (IA) leads this effort in the US and Canada. Individuals in the role of Machine Learning Engineer will use their knowledge of software engineering and data science to operationalize solutions that leverage proprietary and off-the-shelf models to solve key challenges in medical risk assessment.
In the past year we have:
Together, we engage with everything we have and are, to help humankind act braver and better.
As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.
Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.
For New York City based employees, the base salary range anticipated for this position is $ 141,569 to $ 163,922, plus an opportunity for an annual company bonus based upon a percentage of eligible pay.
The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role.
What Can We Offer You?
We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include:
At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
About
About Munich Re Munich Re Worldwide
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Munich Re Life US
Location
New York , United States
Position Overview
Munich Re sees the use of medical data as instrumental in enhancing the customer experience and expanding insurability for life insurance. Integrated Analytics (IA) leads this effort in the US and Canada. Individuals in the role of Machine Learning Engineer will use their knowledge of software engineering and data science to operationalize solutions that leverage proprietary and off-the-shelf models to solve key challenges in medical risk assessment.
In the past year we have:
- Automated risk assessment for medical impairments using Electronic Health Records
- Deployed 10 models to production in partnership with data science
- Expanded MLOps infrastructure to support data science workflows and operationalize Munich Re’s AI Governance program
- Collaborate closely with team members on developing machine learning / AI systems from prototyping to production.
- Leverage proprietary and off-the-shelf (e.g., Llama, GPT-4o, NuExtract) models to enable new risk assessment paradigms.
- Design, test, build, and maintain the backend infrastructure to manage the model lifecycle.
- Work with existing data science and engineering groups at Munich Re to develop model management best practices.
- Bachelor’s Degree in Engineering, Mathematics, Computer Science, Data Science, Physics
- 2-3 years of experience in deploying models and managing the model lifecycle
- Experience working with data and models through the model lifecycle with emphasis on CI/CD for ML, versioning, reproducibility
- Intermediate knowledge of principles of software development
- Strong written technical communication skills
- Ability to manipulate large structured and unstructured datasets
- Familiarity with cloud computing
- Infrastructure: experience with ML platform / orchestration tools (e.g., MLFlow, Flyte, Sagemaker, etc); familiarity with containerization (e.g., Docker), orchestration (e.g., Kubernetes) and infrastructure-as-code (e.g., Terraform)
- Machine Learning: experience with Hugging Face, modelling libraries (e.g., scikit-learn, PyTorch), 3rd party LLMs (OpenAI models, Claude, etc.)
Together, we engage with everything we have and are, to help humankind act braver and better.
As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.
Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.
For New York City based employees, the base salary range anticipated for this position is $ 141,569 to $ 163,922, plus an opportunity for an annual company bonus based upon a percentage of eligible pay.
The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role.
What Can We Offer You?
We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include:
- Comprehensive Medical Plans
- PTO and Family Leave
- Retirement Savings Plans
- Dental and Vision Plans
- Life and Disability insurance
- Employee Assistance Program
- Adoption Assistance
- Wellness Programs - Calm, WW, SoFI, Virgin Pulse
- Commuter Benefits
- FSA and HSA Plans
- Hospital Indemnity, Critical Illness and Accident Plans
At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
About
About Munich Re Munich Re Worldwide
Follow Us
Privacy Legal Notice Imprint
Salary : $141,569 - $163,922
