Senior Machine Learning Engineer

The Central Data & Analytics Organization at Global is building a next-generation AI/ML platform on AWS, and we’re looking for a Senior Machine Learning Engineer to help us scale smarter and faster. This role is pivotal in bridging the gap between data science exploration and robust, production-ready ML systems. As our inaugural MLE hire, you'll be embedded directly in our newly-formed Data Science/Machine Learning team, where you'll collaborate with Data Scientists to architect and implement, from the ground up, a cutting-edge machine learning platform.

You’ll sit at the intersection of machine learning engineering, data science workflows, feature engineering, ML Governance, and core ML operations. Your focus will span taking models from notebooks to scalable, reliable production services and building automated pipelines that keep them running efficiently. You will architect scalable cloud infrastructure, automate ML workflows from training to monitoring or governance, and dive into real-world data transformations that power critical business functions like demand forecasting, pricing optimization, and personalized customer experiences.

If you love writing clean, efficient code, solving tangible business problems with machine learning, designing scalable systems, and seeing your work drive decisions at scale

This position is based in our Waltham, MA office. We offer a flexible work environment. This means working up to 2 days a week remotely and the rest of the time in the office.

For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner’s integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work.

We’re excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We’re looking for passionate people with great ideas to contribute to our company’s future. If you’re motivated by what’s next, Global Partners can provide you with the opportunities to push your career to the next level.

The Types of “Energy” You Bring  

• Ability to work independently and take ownership of projects from design to deployment

• Strong written and verbal communication skills for cross-functional collaboration

• Comfortable working in a fast-paced environment with shifting priorities and deadlines

• Willingness to learn new tools, frameworks, and cloud services as needed

• Ability to troubleshoot infrastructure, data, or deployment issues across the ML lifecycle

• Demonstrated experience managing production systems with high reliability and uptime expectations

• Experience working with cross-functional teams including Data Science, Analytics, Engineering, and Product

• Commitment to documentation, reproducibility, and maintainability of ML workflows

• Adherence to security, privacy, and governance standards when handling sensitive data or deploying models

• Flexibility to support occasional after-hours deployment or troubleshooting if production issues arise

“Gauges” of Responsibility  

• Design, build, and maintain ML pipelines for training, evaluation, and inference using AWS SageMaker and related tools

• Implement and manage cloud infrastructure using AWS CDK or Terraform, and automate deployments via CI/CD workflows

• Collaborate with data scientists to productionize features and maintain high-performance pipelines using Python, SQL, pandas, and dbt

• Monitor deployed models for performance, drift, and data quality, with automated retraining or rollback as needed

• Ensure data integrity and system reliability through validation checks, logging, and alerting

• Troubleshoot and resolve production issues related to model serving, infrastructure, or data dependencies

• Contribute to architecture discussions and document infrastructure, workflows, and design decisions to support collaboration and scalability

 “Fuel” for You

• Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development.

• Health + Wellness - Medical, Dental, Visions and Life Insurance. Along with additional w