Senior Machine Learning Engineer

Senior Machine Learning EngineerSkip to main contentGEICO uses cookies to help us provide the best experience on GEICO Careers. By continuing to use our website, you consent to the use of cookies. For more information, please visit our cookie policy.#Senior Machine Learning Engineer page is loaded## Senior Machine Learning EngineerApplyremote type: Hybridlocations: New York City, NY: Palo Alto, CA: Bethesda, MDtime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 8, 2026 (4 days left to apply)job requisition id: R0064319**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 Machine Learning Engineer, AI Research****About the Role**GEICO is redefining the insurance landscape through cutting-edge Artificial Intelligence, and the AI Research team is driving this transformation. We are developing innovative, centralized, real-time AI solutions to solve complex business challenges and deliver advanced capabilities across claims, customer interactions, and operational efficiency.As a Senior Machine Learning Engineer, you will play a pivotal role as a technical leader, designing, deploying, and managing production-grade ML systems that directly impact core business functions. This position is ideal for engineers who have experience shipping ML systems and seek greater ownership, technical depth, and significant business influence.This is a hands-on opportunity for those passionate about scalable architectures, model robustness, and delivering operational excellence in advanced AI systems.**What**You’ll Do**Own End-to-End Production ML Systems*** Design, implement, and deploy machine learning models and features for diverse AI applications including predictive analytics, automation, and decision support.* Manage the complete ML lifecycle: data ingestion, feature engineering, training, evaluation, deployment, monitoring, and retraining.* Continuously advance model performance, reliability, and interpretability in production environments.**Build Scalable AI ML Pipelines*** Develop scalable batch and real-time pipelines to support high-throughput AI workflows and applications.* Optimize ML serving systems for speed, reliability, and cost-effectiveness.* Collaborate with platform teams to enhance feature stores, model registries, and deployment infrastructure for AI solutions.**Drive Technical Excellence*** Author high-quality, well-tested, and maintainable code in Python (and/or Java).* Contribute to shared ML frameworks, tooling, and promote engineering best practices across the research team.* Engage in architecture discussions, design reviews, and technical roadmap development for AI initiatives.**Mentor & Collaborate Across Teams*** Mentor junior engineers (MLE I/II), providing code reviews, guidance, and technical leadership.* Work closely with data scientists, software engineers, operations, and product teams to integrate ML solutions into real-world applications.* Translate complex business and technical challenges into actionable ML solutions.**Operate Reliable ML in a Regulated Environment*** Ensure ML systems adhere to high standards for monitoring, alerting, security, privacy, and compliance.* Support incident response and maintain production reliability for AI-driven systems.* Contribute to model governance, explainability, and responsible AI practices.**Minimum Qualifications*** Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field (Master’s or PhD a plus).* 6+ years of experience building and deploying machine learning systems in production environments.* Strong proficiency in Python (and/or Java) and production-grade software engineering practices.* Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.* Hands-on experience with the full ML lifecycle, including deployment, monitoring, and retraining.* Hands-on experience building and deploying LLM-based applications, including prompt design, retrieval-augmented generation (RAG), model evaluation, and production integration.* Familiarity with distributed data systems and modern ML infrastructure.**Preferred Qualifications*** Domain experience in AI Research, Predictive Modeling, Automation, or Decision Intelligence.* Experience with fine-tuning, adaptation, evaluation frameworks, and safety/guardrails for large language model (LLM) systems.* Familiarity with real-time ML serving architectures, feature stores, and low-latency systems.* Exposure to advanced modeling techniques, such as deep learning, reinforcement learning, or natural language processing.* Experience with big-data and pipeline technologies (Spark, Snowflake, Airflow, DBT).* Knowledge of model explainability, fairness, and governance in regulated industries.**Why Join GEICO AI Research?*** Build real-time ML systems that drive business innovation and customer value* Tackle large-scale decisioning problems where accuracy and reliability are critical* Collaborate within a strong engineering culture with growth opportunities toward Staff and Senior Staff roles* Contribute to high-impact initiatives across claims, customer service, and operational AI applications**Annual Salary**$115,000.00 - $230,000.00The 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.GEICO will consider sponsoring a new qualified 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. #J-18808-Ljbffr