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Geico Logo Geico · IT - Software Development

Staff Engineer- Machine Learning

United States, Palo Alto 90000.00 USD / Year · Job Posted February 21, 2026
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Job Description

Our Staff Engineer is a lead member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

Job Responsibility

  • Focus on multiple areas and provide leadership to the engineering teams
  • Own complete solution across its entire life cycle
  • Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise-class business applications
  • Accountable for the quality, usability, and performance of the solutions
  • Lead in design sessions and code reviews to elevate the quality of engineering across the organization
  • Utilize programming languages like .NET, Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
  • Mentor more junior team members professionally to help them realize their full potential
  • Consistently share best practices and improve processes within and across teams

Requirements

  • Fluency and Specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design
  • Experience in building products using micro-services oriented architecture and extensible REST APIs
  • Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
  • Experience with continuous delivery and infrastructure as code
  • Fluency in DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework
  • Experience in leveraging PowerShell scripting
  • Experience in existing Operational Portals such as Azure Portal
  • Experience with application monitoring tools and performance assessments
  • Experience in Datacenter structure, capabilities, and offerings, including the Azure platform, and its native services
  • Experience in security protocols and products: Understanding of Active Directory, Windows Authentication, SAML, OAuth
  • Experience in Azure Network (Subscription, Security zoning, etc.)
  • Experience in Genesis
  • In-depth knowledge of CS data structures and algorithms
  • Strong problem-solving ability
  • Ability to excel in a fast-paced, startup-like environment
  • Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
  • 6+ years of professional software development experience within a Java framework (J2EE, web containers and Java)
  • 4+ years of experience in open-source frameworks
  • 3+ years of experience with architecture and design
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
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Staff Engineer- Machine Learning

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  • 8+ years in large-scale software development
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  • 3+ years hands-on experience with GCP and AWS (serverless, event-driven, AI/ML, CI/CD)
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  • Strong communication and leadership skills
  • Strong experience with Python for AI/ML engineering
  • Production experience with Agentic AI frameworks
  • Production experience with RAG architectures and vector databases
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  • Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing
  • Collaborates with multiple departments, including data scientists, clinicians, and Information Technology (IT) professionals, to understand business requirements, define machine learning projects, and prioritize initiatives based on strategic objectives
  • Interfaces with stakeholders to define performance metrics and evaluation methodologies for machine learning models, contributing to rigorous testing, validation, and performance monitoring of models to ensure accuracy and reliability
  • Designs and implements scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ensuring the quality and integrity of healthcare data used for analysis
  • Advises on the optimization and improvement of data pipelines, model training processes, and infrastructure to enhance efficiency, scalability, and performance of machine learning solutions
  • Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of machine learning insights in the healthcare industry
  • Ensures compliance with data privacy regulations, ethical guidelines, and industry standards in machine learning engineering, supporting the development of protocols and practices for model interpretability, fairness, and transparency
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  • Stays up-to-date with the latest advancements in machine learning and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance machine learning capabilities in healthcare applications
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  • Work across the full modeling lifecycle: problem formulation, feature engineering, training, calibration, deployment, monitoring, and iteration in production.
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