Role overview
Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”).
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
$103,300 - $154,975
What we're looking for
- Machine learning development experience across the lifecycle (EDA, feature engineering, modeling, evaluation, monitoring), using common frameworks (e.g., scikit-learn; TensorFlow or PyTorch as applicable).
- ML Ops experience (model registry, deployment patterns, monitoring/alerting, retraining strategies, governance workflows) in Azure or comparable cloud services.
- Ability to work effectively in large codebases to build, test, and deploy ML/AI solutions.
- Experience with OCR and document understanding tools, and/or NLP libraries (e.g., spaCy, Transformers) applied to real-world text extraction and classification.
- Power BI and/or data engineering knowledge to support scalable reporting, metric design, and operational dashboards.
- Mentorship and technical leadership experience (particularly relevant for Grade 11), including leading solution design, estimations, and guiding other data scientists.
- Insurance, financial services, or regulated-domain experience, including comfort operating within quality, security, compliance, explainability, and responsible AI guidelines.
Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $103,300 - $154,975. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.