GEICO
Overview
Sr. Staff Machine Learning Engineer
role at
GEICO
– technical leader for an AI/ML 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. 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 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, setting technical direction and ensuring consistency in design principles and best practices. Provide hands-on mentorship and guidance 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 production-ready solutions. Contribute to internal technical documentation and share knowledge across teams. Lifecycle Management & Reliability: Oversee the end-to-end lifecycle of machine learning models, ensuring robust testing, deployment, and ongoing monitoring. Develop and implement systems for model monitoring, alerting, and automated retraining to maintain peak production performance. Ensure adherence to industry standards, security protocols, and regulatory compliance throughout the ML lifecycle. Cross-Functional Collaboration: Work closely with data scientists, software engineers, and product teams to seamlessly integrate ML systems into production environments. Translate complex technical concepts into actionable insights for both 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 a related field; an 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. Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence. 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 their 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. Salary
$115,000.00/yr - $300,000.00/yr About GEICO & Pledge
The GEICO Pledge Great Company : GEICO helps our customers through life’s twists and turns. Our mission is to protect people when they need it most, and we’re evolving to stay ahead of needs. Great Careers : We offer opportunities to learn, grow, and thrive through development programs, mentorship, and coaching. Great Culture : We foster an inclusive culture of shared success, integrity, and collaboration, with leadership that supports growth and performance. Great Rewards : Compensation and benefits designed to support physical, mental, and financial well-being, including a Total Rewards program and 401K with match. GEICO is an equal opportunity employer. We hire and promote based on qualifications and do not discriminate. GEICO reasonably accommodates qualified individuals with disabilities. Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Insurance Referrals increase your chances of interviewing at GEICO. Get notified about new Machine Learning Engineer jobs in Austin, TX. Select listings and notices below are provided for context but are not requirements of this role.
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Sr. Staff Machine Learning Engineer
role at
GEICO
– technical leader for an AI/ML 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. 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 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, setting technical direction and ensuring consistency in design principles and best practices. Provide hands-on mentorship and guidance 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 production-ready solutions. Contribute to internal technical documentation and share knowledge across teams. Lifecycle Management & Reliability: Oversee the end-to-end lifecycle of machine learning models, ensuring robust testing, deployment, and ongoing monitoring. Develop and implement systems for model monitoring, alerting, and automated retraining to maintain peak production performance. Ensure adherence to industry standards, security protocols, and regulatory compliance throughout the ML lifecycle. Cross-Functional Collaboration: Work closely with data scientists, software engineers, and product teams to seamlessly integrate ML systems into production environments. Translate complex technical concepts into actionable insights for both 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 a related field; an 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. Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence. 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 their 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. Salary
$115,000.00/yr - $300,000.00/yr About GEICO & Pledge
The GEICO Pledge Great Company : GEICO helps our customers through life’s twists and turns. Our mission is to protect people when they need it most, and we’re evolving to stay ahead of needs. Great Careers : We offer opportunities to learn, grow, and thrive through development programs, mentorship, and coaching. Great Culture : We foster an inclusive culture of shared success, integrity, and collaboration, with leadership that supports growth and performance. Great Rewards : Compensation and benefits designed to support physical, mental, and financial well-being, including a Total Rewards program and 401K with match. GEICO is an equal opportunity employer. We hire and promote based on qualifications and do not discriminate. GEICO reasonably accommodates qualified individuals with disabilities. Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Insurance Referrals increase your chances of interviewing at GEICO. Get notified about new Machine Learning Engineer jobs in Austin, TX. Select listings and notices below are provided for context but are not requirements of this role.
#J-18808-Ljbffr