Hybrid Senior Machine Learning Engineer – Document Intelligence

at GEICO

• Job title: Senior Machine Learning Engineer – Document Intelligence
• Job type: Full Time
• Experience level: Senior
• Salary: $115,000 - $230,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Kubernetes, Python, PyTorch, Scikit-Learn, Spark, SQL, Tensorflow
• Location requirements: Hybrid, New York City, United States

About the role

• Senior Machine Learning Engineer leading the design and development of scalable ML models for GEICO. Collaborating with cross-functional teams to integrate advanced machine learning solutions into production systems.

Responsibilities

• Design and implement machine learning models & components that solve real-world business problems in close collaboration with the Product, Business units & Data Science teams.
• Write production-grade code for ML models as services and APIs
• Collaborate with cross-functional teams, including data engineering and software development, to integrate machine learning models into production systems.
• Build and maintain scalable data processing workflows and model deployment infrastructure.
• Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability.
• Keep up with the latest ML tooling and communities
• Lead the design and implementation of complex machine learning models across various business units.
• Architect and develop scalable infrastructure for automated model training, hyperparameter tuning, and deployment.
• Mentor and guide junior engineers, collaborating closely with machine learning engineers to optimize and refine models.
• Own the end-to-end systems for model monitoring, maintenance, and retraining to ensure high availability and performance.

Requirements

• B.Sc. in Machine Learning, Computer Science, Statistics, Mathematics, or related quantitative field
• 6+ year of experience applying machine learning techniques (e.g. Ensemble learning, deep learning, reinforcement learning, NLP etc.)
• 6+ years of experience with SQL, Spark and scripting languages like Python
• 6+ years of experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• 4+ years of experience working with cloud platforms and environments like AWS, Microsoft Azure, Databricks, and Kubernetes.
• 4+ years of experience applying machine learning techniques in a production environment for business solutions.

Benefits

• Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
• Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
• Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
• Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.