About this opportunity
GEICO lists this Distinguished Engineer, AI Applications opportunity in palo alto, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Why Join GEICO?
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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.
As a Distinguished Machine Learning Engineer, you will be a senior technical leader responsible for informing the company’s strategic machine learning initiatives. In this role, you will architect scalable machine learning systems, partner with leadership to align ML efforts with business objectives and oversee the entire lifecycle of machine learning models. You will lead cross-functional teams, explore cutting edge techniques, and ensure that machine learning systems are stable, reliable, robust, interpretable, and compliant with industry standards.
Responsibilities
Drive Innovation: Explore and integrate new machine learning techniques into the company’s portfolio to drive innovation and stay at the forefront of ML technology.
Evangelize and inspire best practices across AI/ML, fostering a culture of craftsmanship and innovation.
Assist in setting the vision and strategy for machine learning and AI initiatives within the organization.
Architect ML Solutions: Lead the architecture design for the company’s key machine learning initiatives, ensuring systems are highly scalable, efficient, and aligned with industry best practices.
Oversee the integration of cutting edge ML techniques into existing workflows.
Frameworks for Interpretability & Fairness: Develop and implement frameworks for model interpretability, fairness, and explainability, ensuring compliance with ethical standards, regulatory requirements, and industry best practices.
Model Monitoring & Maintenance: Design robust systems for monitoring and maintaining machine learning models in production, including setting up alerting mechanisms, retraining pipelines, and model governance structures.
Minimum Qualifications
B. Sc. degree in Machine Learning, Computer Science, Statistics, Mathematics, or related field
10 + years of experience in design and implementation of machine learning systems
Experience with data governance, security, and regulatory compliance in AI systems, including ensuring fairness, transparency, and ethical considerations in ML models.
Extensive knowledge of machine learning algorithms, large-scale data pipelines, and real-time ML serving systems
Proven ability to scale ML models in production environments and design robust monitoring and alerting systems.
Expertise in cross-functional leadership, mentoring, and delivering high-impact machine learning projects
10+ years of proficiency in Python, Java, or similar programming languages.
10+ years of experience with data orchestration workflow tools (e.g., DBT, Airflow)
8+ years of experience with big-data technologies (e.g., Spark, MongoDB, ElasticSearch, Snowflake, Neo4j).
Extensive experience working with cloud providers like AWS and Azure, with a focus on machine learning services (e.g., SageMaker, Azure ML, AWS Bedrock).
Annual Salary $210,000.00 - $350,000.00
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.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge: Great Company: Protecting customers through life’s twists and turns with innovation and integrity. Great Careers: Personalized development programs, mentorship, and certification assistance. Great Culture: Inclusive and collaborative culture rooted in shared success. Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
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.
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Worksite address
palo alto, CA, 94306, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.