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. Machine Learning Engineer II Overview: We are looking for an experienced and self-driven Machine Learning Engineer to take on a pivotal role in designing, implementing, and deploying end-to-end machine learning solutions. In this role, you willleverageyourexpertisein machine learning, software engineering, and system architecture to independently drive the development of production-ready models. You will work closely with cross-functional teams, from product and business units to data scientists, ensuring seamless integration of ML models into business-critical applications. Key Responsibilities: Independently design, implement, deploy, andmaintainmachine learning models and components that solve real-world business problems in close collaboration with the Product, Business units, and Data Science teams. Write production-grade code for ML models as services and APIs. Collaborate with cross-functional teams, including data engineering and software development, to integrate machine learning models into production systems. Build andmaintainscalable data processing workflows and model deployment infrastructure. Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability. Collaborate with PM, Design, Product Engineering, and Data Science teams to ensure end-to-end business impact. Basic Qualifications: • Solid knowledge of ML algorithm foundations. • Strong engineering skills to developproductionML/AI systems. • Strong business sense to turn a business problem into the right ML/AI problem. • B.Sc. in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. • At least 2 years of experience in developing and deploying machine learning models in production environments, withexpertisein a variety of ML techniques (e.g., deep learning, ensemble methods, NLP, reinforcement learning). • At least 2 years of experience &proficiencyin writing production-grade code and creating APIs using frameworks such as TensorFlow,PyTorch, or Scikit-learn. • At least 2 years ofexperience with cloud-based environments (AWS, Azure, GCP) and familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). • Aleast2 years of hands-onexperience with building data processing and ML workflow pipelines using SQL, Spark, and Python scripting. • Atleast2 years of experience&proficientinutilizingdistributed computing frameworks and large-scale data processing tools. • Machine Learning Expertise: At least 2 years of experience with advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models. • Atleast2 years of experience withsoftware development best practices (CI/CD, containerization, version control). • Data Engineering: Atleast 2 years of experiencewith data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows. Preferred Qualifications: • Extensive experience with cloud platforms (AWS, Azure, GCP) and the ability toleveragethem for scalable and efficient ML solutions.Expertisein scaling ML models in production, with a focus on model efficiency, deployment, and monitoring in cloud-based systems. Annual Salary $105,000.00 - $215,000.00 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: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.