Machine Learning Engineer - Hybrid Job Details | XPO

XPO is a transportation services company seeking a Machine Learning Engineer to build and maintain data preparation, validation, and ML infrastructure. The role focuses on model training, evaluation, deployment, monitoring, MLOps tooling, and collaboration with applied science and data engineering teams.

What you'll do:

• Build and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models
• Design and implement ML infrastructure for model training, evaluation, and deployment
• Build and maintain CI/CD pipelines for machine learning models, including automated testing and validation
• Implement model monitoring, drift detection, and feedback loops to track model performance in production
• Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
• Collaborate with data engineering teams to ensure reliable, accessible data pipelines
• Contribute to shared MLOps tooling and best practices across the AI/ML organization

What they're looking for:

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience
• 1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling
• Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines
• Proficiency in Python and SQL
• Experience with cloud data or ML platforms (e.g., AWS, GCP, BigQuery)
• Strong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams
• Master's degree in Computer Science or related field
• 3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale
• Experience building and maintaining CI/CD pipelines for machine learning models
• Experience with model serving and inference infrastructure (batch and real-time)
• Experience implementing model monitoring, drift detection, and feedback-loop tooling
• Experience with containerization and orchestration (Docker, Kubernetes)

Benefits:

• Full health insurance benefits available on day one
• Life and disability insurance
• Earn up to 15 days of PTO over your first year
• 9 paid company holidays
• 401(k) option with company match
• Education assistance
• Opportunity to participate in a company incentive plan