Senior Engineer, Machine Learning - Remote (East Coast) jobs in United States
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GXO Logistics, Inc. · 22 hours ago

Senior Engineer, Machine Learning - Remote (East Coast)

GXO Logistics, Inc. is a leading provider of cutting-edge supply chain solutions. They are seeking a Senior Engineer in Machine Learning to design, build, and maintain scalable machine learning systems that enhance supply chain operations.

LogisticsSupply Chain Management
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H1B Sponsor Likelynote

Responsibilities

Design, develop, deploy, and maintain ML systems, microservices, and software components that enhance and support supply chain operations and technology
Ensure software engineering, DevOps, and cybersecurity best practices in development and deployment, including CI/CD pipelines, source control, and secure coding standards
Design and build, and/or collaborate with data engineering teams to develop data models, pipelines, and integration layers that support and feed ML solutions, ensuring scalability, reliability, and data quality
Develop ML integration APIs and services using Python, SQL, and frameworks such as Flask and FastAPI with a focus on reliability, latency, and maintainability
Build agile and portable ML solutions using containerization tools like Docker and Kubernetes
Implement monitoring, alerting, and observability for ML services
Collaborate with business and product stakeholders to understand use cases and educate teams on ML capabilities
Work closely with IT teams (infrastructure, InfoSec, data engineering) to define internal requirements and ensure seamless integration
Communicate effectively with leadership to secure resources, address issues, and provide project updates
Take ownership of projects end-to-end with minimal supervision
Mentor junior engineers on best practices in ML and software development through pair programming, code reviews, and architectural guidance
Stay current on emerging ML and platform technologies and contribute to the organization’s ML roadmap
Maintain high-quality technical documentation across systems, services, pipelines, and deployment workflows

Qualification

Machine LearningPythonCloud EnvironmentsAPIsSQLDevOps/MLOpsMonitoringTroubleshootingData EngineeringTensorFlowScikit-learnPyTorchJavaScriptLogistics SystemsGCP Vertex AI

Required

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

Preferred

Familiarity with logistics systems and supply chain systems (e.g., WMS, OMS, TMS)
Experience with Snowflake and its ecosystem
Hands-on experience with GCP Vertex AI
Experience with JavaScript and integrating ML outputs in user-facing applications

Benefits

Full health insurance (medical, dental and vision)
401(k)
Life insurance
Disability and more

Company

GXO Logistics, Inc.

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Game-changing opportunities for our customers, employees and investors. Advanced automation that achieves logistics at full potential.

H1B Sponsorship

GXO Logistics, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2022 (5)
2021 (1)

Funding

Current Stage
Public Company
Total Funding
$1.68B
2025-11-24Post Ipo Debt· $576.56M
2024-04-25Post Ipo Debt· $1.1B
2021-08-02IPO

Leadership Team

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Malcolm Wilson
Chief Executive Officer
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Nizar Trigui
Chief Technology Officer
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Company data provided by crunchbase