Machine Learning Engineer - Hybrid

About the Machine Learning Engineer job

As a Machine Learning Engineer at XPO, you will build and maintain the infrastructure and tooling that powers ML and optimization models, partnering closely with applied science and data engineering teams.

What you’ll do on a typical day

• 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

Minimum qualifications

• 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

Preferred qualifications

• 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)
• Experience partnering with data engineering teams on data pipeline reliability and access

Pay and benefits

• Competitive compensation package
• 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
• Annual Salary Range: $100,000 to $120,000; actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO.