Sr. Staff Machine Learning Engineer

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Base pay range : $115,000.00 / yr - $300,000.00 / yr

Overview

We are seeking an accomplished Senior Staff ML Engineer who will serve as the technical leader for an AI / Machine learning area. In this individual contributor role, you will drive the design, development, and optimization of advanced AIML systems and platforms, while setting the technical direction for multiple AIML sub-teams.

Key Responsibilities

• Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows.
• Design end-to-end AIML pipelines - from data ingestion and feature engineering to model training, deployment, and continuous monitoring.
• Evaluate and integrate cutting-edge AIML frameworks and libraries to maintain a state-of-the-art technology stack.

Technical Leadership & Expert Guidance

Innovation & Research Integration

Lifecycle Management & Reliability

Cross-Functional Collaboration

Minimum Qualifications

The GEICO Pledge

Great Company : At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

Great Careers : We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind.

Great Culture : We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset.

Great Rewards : We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law.

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