*Remote* Senior Manager, Machine Learning Engineer

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.

We are seeking a highly experienced Sr. Manager Machine Learning Engineer to lead our AI/ML Platform team. This role is critical in scaling our ML infrastructure and ensuring our platform supports the development and deployment of robust, secure, and scalable AI/ML solutions. The ideal candidate is a technically strong leader with deep experience in machine learning systems, infrastructure engineering, and team leadership.

Key Responsibilities:

• Lead the strategy, design, and delivery of the AI/ML platform, enabling end-to-end ML lifecycle support.
• Partner with cross-functional stakeholders to define technical roadmaps aligned with business goals.
• Architect scalable, secure, and reliable infrastructure for model training, deployment, and monitoring.
• Establish and drive best practices in MLOps, data governance, model management, and observability.
• Mentor, hire, and grow a high-performing team of engineers focused on ML systems.
• Collaborate with data scientists and ML engineers to deliver production-ready models.
• Ensure compliance with data privacy and security standards.
• Continuously improve platform performance, scalability, and user experience.

Minimum Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience in software engineering and AI/ML platform development.
• Proven leadership experience in managing and scaling engineering teams.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong proficiency with cloud platforms (AWS, GCP, or Azure), Docker, Kubernetes, and CI/CD practices.
• Deep understanding of MLOps, model lifecycle management, and data governance.
• Strong communication and collaboration skills across technical and non-technical teams.

Preferred Qualifications:

• Experience with large language models (LLMs), including Retrieval-Augmented Generation (RAG) and agent-based architectures.
• Familiarity with real-time model serving tools such as Seldon, Ray, or AWS SageMaker.
• Knowledge of semantic data modeling and enterprise data integration technologies.

 

Annual Salary

$150,000.00 - $300,000.00

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.

 

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.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.

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.  You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes