> Markdown version of [/jobs/ext/2188071-machine-learning-engineer-hybrid](https://www.wearedevelopers.com/jobs/ext/2188071-machine-learning-engineer-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer - Hybrid

- **Company:** XPO Logistics, Inc.
- **Location:** Boston, MA, United States
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, BigQuery, Cloud Database, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, Standard Sql, Azure Machine Learning, Google Cloud, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines, Docker
- **Published:** August 22, 2026
- **Apply:** https://jobs.xpo.com/talentcommunity/apply/1422078600/?locale=en_US

## About the Role

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



## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)
- [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes)
- [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing)

## Related Articles

- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)