Software Engineer - Machine Learning - Remote

Overview

The Software Engineer Machine Learning at GEICO will design, build, and maintain a Machine Learning platform to support data science modeling initiatives, collaborating with cross-functional teams to ensure seamless integration of various systems.

In Short

• Design and build scalable systems for Machine Learning.
• Support model deployment and monitoring solutions.
• Research and implement cloud and open-source tools.
• Debug production issues and system latencies.
• Engage in cross-functional collaboration.
• Lead design sessions and code reviews.
• Author technical documentation and reports.
• Participate in product discussions and roadmap exercises.
• Work with MLOps tools and frameworks.
• Opportunity for growth within the ML Platform team.

Requirements

• Bachelor’s degree in computer science, Engineering, Data Science, or related field.
• Proficiency in Python and SQL.
• Experience with MLOps platforms.
• Knowledge of cloud computing platforms (AWS, Azure, GCP).
• Experience with version control and CI/CD tools.
• Strong problem-solving skills.
• Excellent communication skills.
• 0-4 years of relevant experience.
• Familiarity with Kubernetes and infrastructure as code tools is a plus.
• Experience with monitoring and observability tools is preferred.

Benefits

• Opportunity to work on cutting-edge ML infrastructure.
• Mentorship from senior engineers.
• Professional development budget.
• Collaborative environment with cross-functional teams.
• Competitive salary and benefits package.
• Growth potential within the ML Platform team.
• Workplace flexibility.
• 401K savings plan with a 6% match.
• Access to mental healthcare and additional benefits.
• Inclusive culture of shared success.