Senior Machine Learning Engineer – Document AI

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 Machine Learning Engineer 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.

Position Responsibilities
As a Senior ML Engineer, you will: 
•    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.

Qualifications
•    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)

Experience
•    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.

Education
•    Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

 

Annual Salary

$105,000.00 - $215,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

 

Benefits:

As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:

• Premier Medical, Dental and Vision Insurance with no waiting period**
• Paid Vacation, Sick and Parental Leave
• 401(k) Plan
• Tuition Reimbursement
• Paid Training and Licensures

*Benefits may be different by location.  Benefit eligibility requirements vary and may include length of service.

**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.

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. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.