As a Senior Engineer, Machine Learning at GXO, you will design, build, and maintain scalable machine learning systems to enhance and support supply chain operations and technology. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
- 3–5 years of experience in software engineering, ML engineering, or data science, with at least 2 years focused on designing, building, and deploying scalable, production-grade machine learning systems
- Strong proficiency in cloud environments (GCP preferred; AWS and Azure acceptable)
- Expertise in Python, APIs, SQL, system design, DevOps/MLOps, and familiarity with distributed systems
- Familiarity with common ML frameworks such as TensorFlow, scikit-learn, PyTorch, and related tooling
- Experience in monitoring, troubleshooting, and optimizing deployed solutions
- Strong analytical and problem-solving skills
- Strong understanding of all stages of the ML lifecycle
Benefits
- Full health insurance (medical, dental and vision)
- 401(k)
- Life insurance
- Disability