GEICO
Overview
Join to apply for the
Sr. Staff Machine Learning Engineer
role at
GEICO Base pay range: $115,000.00/yr - $300,000.00/yr At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. We strive to honor our brand by offering quality coverage to millions of customers and being there when they need us most. We innovate to exceed our customers’ expectations while making a real impact for our company through our shared purpose. The GEICO Pledge emphasizes Great Company, Great Culture, Great Rewards and Great Careers. Senior Staff ML Engineer — 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. This role requires a minimum of 10 years of relevant experience.
Responsibilities
Technical Architecture & System Design: 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: Act as the tech lead across multiple ML feature teams, set technical direction, and ensure consistency in design principles and best practices.
Provide hands-on mentorship during design reviews, code assessments, and performance tuning.
Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
Innovation & Research Integration: Experiment with and prototype advanced machine learning algorithms to enhance system performance, model accuracy, and interpretability.
Stay abreast of the latest research and industry trends, translating insights into actionable, production-level solutions.
Contribute to internal technical documentation and share knowledge across teams.
Lifecycle Management & Reliability: Oversee the end-to-end lifecycle of ML models, ensuring robust testing, deployment, and ongoing monitoring.
Develop and implement systems for model monitoring, alerting, and automated retraining to maintain peak performance in production.
Ensure adherence to industry standards, security protocols, and regulatory compliance throughout the ML lifecycle.
Cross-Functional Collaboration: Work with data scientists, software engineers, and product teams to integrate ML systems into production; translate complex concepts for technical and non-technical stakeholders.
Foster a collaborative environment that encourages innovation and sharing of best practices across teams.
Minimum Qualifications
Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or related field; advanced degree (master’s or Ph.D.) highly desirable.
10+ years of hands-on experience designing, implementing, and optimizing AIML systems in production environments.
Extensive expertise in architecting large-scale data pipelines, real-time AIML serving architectures, and end-to-end AIML lifecycle management.
Proven ability to tackle complex technical challenges and set technical standards across teams.
Deep proficiency in Python, Java, or similar languages, with strong coding standards.
Experience with backend distributed systems & tools (e.g., Airflow, DBT, Temporal, Kubernetes) and big-data technologies (e.g., Spark, MongoDB, OpenSearch, Snowflake, Neo4j, Redis).
Significant experience with cloud platforms (AWS, Azure, etc.) and ML services (e.g., SageMaker, Azure ML, AWS Bedrock).
Familiarity with frameworks for model interpretability, fairness, and regulatory compliance.
Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, Langraph, etc.
If you are passionate about pushing the boundaries of machine learning technology, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply.
Salary & Benefits (highlights) Annual Salary: $115,000.00 - $300,000.00
The GEICO Pledge outlines Great Company, Great Careers, Great Culture, and Great Rewards. GEICO offers a comprehensive Total Rewards program including health benefits, 401K with match, tuition assistance, and additional supportive programs. GEICO supports flexible work arrangements and remote options where applicable.
Equal Opportunity The GEICO equal employment opportunity policy provides for 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, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job. GEICO reasonably accommodates qualified individuals with disabilities. We are committed to an atmosphere free from discrimination and harassment.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Science
Industries
Research Services
#J-18808-Ljbffr
Join to apply for the
Sr. Staff Machine Learning Engineer
role at
GEICO Base pay range: $115,000.00/yr - $300,000.00/yr At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. We strive to honor our brand by offering quality coverage to millions of customers and being there when they need us most. We innovate to exceed our customers’ expectations while making a real impact for our company through our shared purpose. The GEICO Pledge emphasizes Great Company, Great Culture, Great Rewards and Great Careers. Senior Staff ML Engineer — 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. This role requires a minimum of 10 years of relevant experience.
Responsibilities
Technical Architecture & System Design: 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: Act as the tech lead across multiple ML feature teams, set technical direction, and ensure consistency in design principles and best practices.
Provide hands-on mentorship during design reviews, code assessments, and performance tuning.
Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
Innovation & Research Integration: Experiment with and prototype advanced machine learning algorithms to enhance system performance, model accuracy, and interpretability.
Stay abreast of the latest research and industry trends, translating insights into actionable, production-level solutions.
Contribute to internal technical documentation and share knowledge across teams.
Lifecycle Management & Reliability: Oversee the end-to-end lifecycle of ML models, ensuring robust testing, deployment, and ongoing monitoring.
Develop and implement systems for model monitoring, alerting, and automated retraining to maintain peak performance in production.
Ensure adherence to industry standards, security protocols, and regulatory compliance throughout the ML lifecycle.
Cross-Functional Collaboration: Work with data scientists, software engineers, and product teams to integrate ML systems into production; translate complex concepts for technical and non-technical stakeholders.
Foster a collaborative environment that encourages innovation and sharing of best practices across teams.
Minimum Qualifications
Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or related field; advanced degree (master’s or Ph.D.) highly desirable.
10+ years of hands-on experience designing, implementing, and optimizing AIML systems in production environments.
Extensive expertise in architecting large-scale data pipelines, real-time AIML serving architectures, and end-to-end AIML lifecycle management.
Proven ability to tackle complex technical challenges and set technical standards across teams.
Deep proficiency in Python, Java, or similar languages, with strong coding standards.
Experience with backend distributed systems & tools (e.g., Airflow, DBT, Temporal, Kubernetes) and big-data technologies (e.g., Spark, MongoDB, OpenSearch, Snowflake, Neo4j, Redis).
Significant experience with cloud platforms (AWS, Azure, etc.) and ML services (e.g., SageMaker, Azure ML, AWS Bedrock).
Familiarity with frameworks for model interpretability, fairness, and regulatory compliance.
Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, Langraph, etc.
If you are passionate about pushing the boundaries of machine learning technology, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply.
Salary & Benefits (highlights) Annual Salary: $115,000.00 - $300,000.00
The GEICO Pledge outlines Great Company, Great Careers, Great Culture, and Great Rewards. GEICO offers a comprehensive Total Rewards program including health benefits, 401K with match, tuition assistance, and additional supportive programs. GEICO supports flexible work arrangements and remote options where applicable.
Equal Opportunity The GEICO equal employment opportunity policy provides for 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, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job. GEICO reasonably accommodates qualified individuals with disabilities. We are committed to an atmosphere free from discrimination and harassment.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Science
Industries
Research Services
#J-18808-Ljbffr