Sr. Staff Machine Learning EngineerGEICO • San Francisco, CA, United States
Sr. Staff Machine Learning Engineer
GEICO • San Francisco, CA, United States
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job_description.job_card.job_descriptionAct 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. Experiment with and prototype advanced machine learning algorithms and approaches to enhance system performance, model accuracy, and interpretability. Stay abreast of the latest research and industry trends, translating these insights into actionable, production-level solutions. Contribute to internal technical documentation and share knowledge across teams. 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 performance in production. Ensure adherence to industry standards, security protocols, and regulatory compliance throughout the ML lifecycle. 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 the sharing of best practices across teams. 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 in designing, implementing, and optimizing AIML systems in production environments. Extensive expertise in architecting large-scale data pipelines, real-time AIML serving architectures, and managing the end-to-end AIML lifecycle. 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 & tools (e.g., Airflow, DBT, Temporal, Kubernetes) and big-data technologies (e.g., Spark, MongoDB, Opensearch, Snowflake, Neo4j, Redis). Significant experience working with cloud platforms (AWS, Azure, etc.) and their machine learning services (e.g., SageMaker, Azure ML, AWS Bedrock). Familiarity with frameworks for model interpretability, fairness, and regulatory compliance, ensuring ethical and transparent ML systems. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, Langraph, etc. 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.
Join to apply for the Sr. Staff Machine Learning Engineer role at GEICO
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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Staff Machine Learning Engineer • San Francisco, CA, United States
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