Machine Learning Engineer II

Responsibilities Design, implement, and deploy end-to-end machine learning solutions. Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production‑ready models. Work closely with cross‑functional teams—from product and business units to data scientists—ensuring seamless integration of ML models into business‑critical applications. Independently design, implement, deploy, and maintain machine learning models and components that solve real‑world business problems in close collaboration with product, business unit, 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 and maintain scalable 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. Hybrid Work Policy – 3 days in office, 2 days work from home – Must be able to report to local office. Multiple positions open. Salary $105,000 to $215,000 per year. Requirements Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. Two (2) years of experience as a Software Engineer, or related occupation. Two (2) years of experience with developing and deploying machine learning models in production environments, with expertise in a variety of ML techniques. Experience writing production‑grade code and creating APIs using frameworks such as TensorFlow, PyTorch, or Scikit‑learn. Knowledge of cloud‑based environments and familiarity with containerization and orchestration tools. Experience building data processing and ML workflow pipelines using SQL, Spark, and Python scripting. Understanding of distributed computing frameworks and large‑scale data processing tools. Solid grasp of ML algorithm foundations and ability to transform business problems into ML/AI problems. Advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models. Proficiency in Python and popular ML frameworks such as TensorFlow, Keras, and PyTorch. Software development best practices, such as CI/CD, containerization, and version control. Experience with cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML solutions. Data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows. How to Apply Visit Equal Employment Opportunity 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