Position Senior Software Engineer - (Backend, Document AI/ML) - HYBRID

GEICO • Palo Alto, CA

2d • $80,000 - $215,000 • Hybrid

About The Position

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications powered by Artificial Intelligence and Machine Learning. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. Position Description The Senior Engineer (Software/Machine Learning) reports to a Senior Staff Engineering Manager of Document Platform under GEICO Platform Engineering organization. This tech lead works with other engineers to innovate and build a unified and modernized document management system that integrates with multiple business applications to serve critical business processes. You will lead the strategy and execution of the technical roadmap of the document intelligence sub-area of the entire document management platform. The ideal candidate has deep technical expertise in both general AI/ML , Document AI and production-ready software system development.

Requirements

• Fluency and specialization with at least two modern languages such as Java, Golang, Python or C# including object-oriented design
• Working knowledge and experience of building data intensive large-scale systems with focus on fault-tolerance and throughput
• Extensive knowledge and experience in AI/ML models, algorithms, and MLOps best practices
• Expertise of building enterprise-grade AI/ML products at scale
• Experience in Document Intelligence related product development
• Experience building products of micro-services oriented architecture and extensible REST APIs
• Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, and scaling)
• Fluency in DevOps concepts and best practices in CI/CD pipelines and infrastructure as a code
• Experience with application performance monitoring tools and performance assessments
• In-depth knowledge of CS data structures and algorithms
• Experience with solving analytical problems with quantitative approaches
• 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)
• 5+ years of professional software development experience on large-scale distributed systems for high-traffic internet applications or business-critical enterprise systems
• 5+ years of building custom AI/ML models with main-stream machine learning algorithms
• 4+ years of experience in open-source frameworks
• 3+ years of experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• 3+ years of experience with MLOps frameworks like MLflow, Kubeflow, etc.
• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

Responsibilities

• Focus on building and operating machine learning models that will be consumed in document management domain contribute to the end-to-end ML system building.
• Coordinate and collaborate with product managers, engineering team members and customers to solve complex problems
• Leverage open-source frameworks and embrace the cloud native development paradigm
• Mentor and help coach and strengthen the technical expertise and know-how of our engineering and product community
• Always push for engineering excellence; Consistently share best practices and improve processes within and across teams.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level