Machine Learning Engineer II - AI Research

GEICO • Bethesda, MD

1d • $105,000 - $215,000

About The Position

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 will leverage your expertise in 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.

Requirements

• Solid knowledge of ML algorithm foundations.
• Strong engineering skills to develop production ML/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, with expertise in a variety of ML techniques (e.g., deep learning, ensemble methods, NLP, reinforcement learning).
• At least 2 years of experience & proficiency in writing production-grade code and creating APIs using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• At least 2 years of experience with cloud-based environments (AWS, Azure, GCP) and familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• A least 2 years of hands-on experience with building data processing and ML workflow pipelines using SQL, Spark, and Python scripting.
• At least 2 years of experience & proficient in utilizing distributed computing frameworks and large-scale data processing tools.
• At least 2 years of experience with advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models.
• At least 2 years of experience with software development best practices (CI/CD, containerization, version control).
• At least 2 years of experience with data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows.

Nice To Haves

• Extensive experience with cloud platforms (AWS, Azure, GCP) and the ability to leverage them for scalable and efficient ML solutions.
• Expertise in scaling ML models in production, with a focus on model efficiency, deployment, and monitoring in cloud-based systems.

Responsibilities

• Independently design, implement, deploy, and maintain machine 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 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level