Senior Staff Machine Learning Engineer Job at Geico (Chevy Chase)

Senior Staff Machine Learning Engineer

Geico

Location:
United States , Chevy Chase ▼
Austin
San Francisco
Chicago
Seattle

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

115000.00 - 300000.00 USD / Year

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Job Description:

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. You will provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross functional problems. This role requires a minimum of 10 years of relevant experience.

Job Responsibility:

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 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
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 performance in production
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 the sharing of best practices across teams

Requirements:

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.

What we offer:

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

Additional Information:

Job Posted:
February 21, 2026

Expiration:
February 23, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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