*Remote* Senior Manager, Machine Learning Engineer

GEICO; Palo Alto (CA); Remote; USD 150,000 - 300,000; Full time

Job summary

GEICO is on the lookout for a Sr. Manager Machine Learning Engineer to spearhead their AI/ML Platform team in Palo Alto. This pivotal role demands a technical leader to scale ML infrastructure while mentoring a talented team. Candidates should possess a robust arsenal of experience in software engineering, particularly within AI/ML, to drive strategic initiatives and ensure the delivery of secure and innovative solutions. With an emphasis on building collaboration within dynamic teams, this opportunity promises not just a position, but a career where your contributions can make a real impact.

Benefits

401K savings plan with a 6% match

Performance and recognition-based incentives

Tuition assistance

Flexible workplace options

Comprehensive Total Rewards program

Mental healthcare support

Access to fertility and adoption assistance

Qualifications

• 10+ years of experience in software engineering and AI/ML platform development.
• Proven leadership experience in managing and scaling engineering teams.
• Deep understanding of MLOps, model lifecycle management, and data governance.

Responsibilities

• Lead the strategy, design, and delivery of the AI/ML platform.
• Architect scalable and secure infrastructure for model training and deployment.
• Mentor and grow a high-performing team of engineers focused on ML systems.

Skills

Leadership

Machine Learning

Infrastructure Engineering

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS

GCP

Azure

Docker

Kubernetes

Job description

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 experiencedSr. Manager Machine Learning Engineerto lead ourAI/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 on the lives of our customers.

Great Rewards:We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

• 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.

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.