Senior Machine Learning Engineer

Job Summary:

The Central Data & Analytics Organization at Global is building a next-generation AI/ML platform on AWS, and we’re looking for a 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 one’s for you.

At Global Partners, business starts with people. Since 1933, we’ve believed in taking care of our customers, our guests, our communities, and each other—and that belief continues to guide us.  

The Global Spirit is how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we’re proud to fuel communities—responsibly and sustainably. We show up every day with grit, passion, and purpose—anticipating needs, building lasting relationships, and creating shared value. 

Job Description:

• 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

Additional Job Description:

• 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
• Master's Degree

Pay Range:

$160,500.00 - $240,800.00

The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.

Our Commitments to You

• Coins! We offer competitive salaries and opportunities for growth. 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 wellness support.

• The Road Ahead – We offer 401k and a match component!

• Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service.

What to Expect From the Hiring Process (old GPS of the Interview Process) 

We value passion and potential. Please apply if you’re qualified and interested—we’d love to hear from you. 

A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match. 

Interviews are conducted virtually and in person, depending on the role. We’ll provide more details about next steps if selected to move forward.  

Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-747-9675 or 781-7GP-WORK.

*Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.