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.
Senior Staff ML Engineer
Overview: We are seeking an accomplished Senior Staff ML Engineer who will serve as the technical leader for an AI/Machine learning area. In this individual contributor role, you will drive the design, development, and optimization of advanced AIML systems and platforms, while setting the technical direction for multiple AIML sub-teams. You will provide hands-on guidance, ensure architectural excellence, and lead by example to solve complex, large-scale, cross functional problems. This role requires a minimum of 10 years of relevant experience.
Key Responsibilities:
Technical Architecture & System Design:
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows.
Design end-to-end AIML pipelines - from data ingestion and feature engineering to model training, deployment, and continuous monitoring.
Evaluate and integrate cutting-edge AIML frameworks and libraries to maintain a state-of-the-art technology stack.
Technical Leadership & Expert Guidance:
Act as the tech lead across multiple ML feature teams, setting technical direction and ensuring consistency in design principles and best practices.
Provide hands-on mentorship and guidance during design reviews, code assessments, and performance tuning.
Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
Innovation & Research Integration:
Experiment with and prototype advanced machine learning algorithms and approaches to enhance system performance, model accuracy, and interpretability.
Stay abreast of the latest research and industry trends, translating these insights into actionable, production-level solutions.
Contribute to internal technical documentation and share knowledge across teams.
Lifecycle Management & Reliability:
Oversee the end-to-end lifecycle of machine learning models, ensuring robust testing, deployment, and ongoing monitoring.
Develop and implement systems for model monitoring, alerting, and automated retraining to maintain peak performance in production.
Ensure adherence to industry standards, security protocols, and regulatory compliance throughout the ML lifecycle.
Cross-Functional Collaboration:
Work closely with data scientists, software engineers, and product teams to seamlessly integrate ML systems into production environments.
Translate complex technical concepts into actionable insights for both technical and non-technical stakeholders.
Foster a collaborative environment that encourages innovation and the sharing of best practices across teams.
Minimum Qualifications:
Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field; an advanced degree (master’s or Ph.D.) is highly desirable.
10+ years of hands-on experience in designing, implementing, and optimizing AIML systems in production environments.
Extensive expertise in architecting large-scale data pipelines, real-time AIML serving architectures, and managing the end-to-end AIML lifecycle.
Proven ability to tackle complex technical challenges, innovate through hands-on experimentation, and set technical standards across teams.
Deep proficiency in programming languages such as Python, Java, or similar, with a strong emphasis on coding excellence.
Experience with backend distributed systems & tools (e.g., Airflow, DBT, Temporal, Kubernetes) and big-data technologies (e.g., Spark, MongoDB, Opensearch, Snowflake, Neo4j, Redis).
Significant experience working with cloud platforms (AWS, Azure, etc.) and their machine learning services (e.g., SageMaker, Azure ML, AWS Bedrock).
Familiarity with frameworks for model interpretability, fairness, and regulatory compliance, ensuring ethical and transparent ML systems.
Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, Langraph, etc.
If you are passionate about pushing the boundaries of machine learning technology, thrive in a hands-on technical leadership role, and enjoy solving complex, large-scale problems, we encourage you to apply.
Annual Salary
$115,000.00 - $300,000.00The 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.
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.