GEICO
Overview
Sr. Staff Machine Learning Engineer role at GEICO. This role requires a minimum of 10 years of relevant experience and acts as the technical leader for an AI/Machine learning area, guiding design, development, and optimization of advanced AIML systems and platforms. Base pay range
$115,000.00/yr - $300,000.00/yr Note:
The actual pay will be based on skills and experience — talk with your recruiter to learn more. Key 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 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, provide hands-on mentorship during design reviews, code assessments, and performance tuning; lead by example in tackling complex architectural improvements. Innovation & Research Integration: Prototype advanced machine learning algorithms to enhance system performance, model accuracy, and interpretability; stay current with research and industry trends and translate insights into production-ready solutions; contribute to internal technical documentation and share knowledge across teams. Lifecycle Management & Reliability: Oversee end-to-end lifecycle of ML models, ensure robust testing, deployment, and ongoing monitoring; implement systems for model monitoring, alerting, and automated retraining; ensure adherence to security, regulatory compliance, and standards throughout the ML lifecycle. Cross-Functional Collaboration: Work with data scientists, software engineers, and product teams to integrate ML systems into production; translate complex technical concepts for both technical and non-technical stakeholders; foster collaboration 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.) is 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, innovate through hands-on experimentation, and set technical standards across teams. Proficiency in programming languages such as Python, Java, or similar, with strong coding standards. Experience with backend distributed systems and 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 to ensure ethical ML systems. Proficiency with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and related tooling. Annual Salary
$115,000.00 - $300,000.00 The above salary range is a general guideline; final offer depends on scope, responsibilities, experience, education, location, and market conditions. GEICO Pledge & Benefits
The GEICO Pledge emphasizes Great Company, Great Culture, Great Rewards and Great Careers. GEICO offers a comprehensive Total Rewards program with benefits designed to support physical, mental, and financial well-being, along with flexible work arrangements. Comprehensive Total Rewards program tailored to you and your family’s well-being. Financial benefits including market-competitive compensation; a 401K plan with employer match; performance-based incentives; and tuition assistance. Access to benefits such as mental health support, fertility and adoption assistance. Workplace flexibility and GEICO Flex program for remote work options where available. Equal Employment Opportunity
GEICO is an equal opportunity employer. We hire and promote individuals solely on the basis of qualifications for the job, and we provide reasonable accommodations as needed to enable applicants and associates to perform the essential functions of the role.
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Sr. Staff Machine Learning Engineer role at GEICO. This role requires a minimum of 10 years of relevant experience and acts as the technical leader for an AI/Machine learning area, guiding design, development, and optimization of advanced AIML systems and platforms. Base pay range
$115,000.00/yr - $300,000.00/yr Note:
The actual pay will be based on skills and experience — talk with your recruiter to learn more. Key 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 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, provide hands-on mentorship during design reviews, code assessments, and performance tuning; lead by example in tackling complex architectural improvements. Innovation & Research Integration: Prototype advanced machine learning algorithms to enhance system performance, model accuracy, and interpretability; stay current with research and industry trends and translate insights into production-ready solutions; contribute to internal technical documentation and share knowledge across teams. Lifecycle Management & Reliability: Oversee end-to-end lifecycle of ML models, ensure robust testing, deployment, and ongoing monitoring; implement systems for model monitoring, alerting, and automated retraining; ensure adherence to security, regulatory compliance, and standards throughout the ML lifecycle. Cross-Functional Collaboration: Work with data scientists, software engineers, and product teams to integrate ML systems into production; translate complex technical concepts for both technical and non-technical stakeholders; foster collaboration 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.) is 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, innovate through hands-on experimentation, and set technical standards across teams. Proficiency in programming languages such as Python, Java, or similar, with strong coding standards. Experience with backend distributed systems and 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 to ensure ethical ML systems. Proficiency with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and related tooling. Annual Salary
$115,000.00 - $300,000.00 The above salary range is a general guideline; final offer depends on scope, responsibilities, experience, education, location, and market conditions. GEICO Pledge & Benefits
The GEICO Pledge emphasizes Great Company, Great Culture, Great Rewards and Great Careers. GEICO offers a comprehensive Total Rewards program with benefits designed to support physical, mental, and financial well-being, along with flexible work arrangements. Comprehensive Total Rewards program tailored to you and your family’s well-being. Financial benefits including market-competitive compensation; a 401K plan with employer match; performance-based incentives; and tuition assistance. Access to benefits such as mental health support, fertility and adoption assistance. Workplace flexibility and GEICO Flex program for remote work options where available. Equal Employment Opportunity
GEICO is an equal opportunity employer. We hire and promote individuals solely on the basis of qualifications for the job, and we provide reasonable accommodations as needed to enable applicants and associates to perform the essential functions of the role.
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