Artificial Intelligence and Machine Learning Engineer

Are you curious about solving complex business challenges for a leading convenience retailer? Do you have a passion for cross functional collaboration? Then you may be the perfect addition to our team!

Cumberland Farms is one of the fastest-growing convenience retailers in the United States, committed to becoming America’s #1 ‘one-stop’ destination. The business has an established pedigree of delivering excellent fuel, grocery and merchandise, and food service. Headquartered in Westborough, Massachusetts, our Company has grown to over 1,500+ locations across the United States employing over 18,000 team members. You can find us operating under the following store banners: Certified Oil, Cumberland Farms, Fastrac, Kwik Shop, Loaf N Jug, Minit Mart, Sprint Food Stores, Tom Thumb, Turkey Hill, and Quik Stop. Our US headquarters in Westborough, MA is home to our Store Support Center, Company Warehouse, and Culinary Center.

What We Offer

• Competitive Wages
• Work today, get paid tomorrow through our earned wage access program*
• Paid Time Off
• Medical/Health/Dental Coverage
• 401K with Company Match
• Team Member Discounts
• Tuition Reimbursement
• Employee Assistance Program
• Health Savings Account
• Company Spirit Days
• Employee recognition and awards
• And much more!

As an AI & ML Engineer, you’ll design, deploy, and optimize machine learning systems that drive intelligent decision-making across the organization. You’ll work at the intersection of data science, engineering, and product strategy—building models that are not only performant but also interpretable, scalable, and aligned with human oversight. This role is ideal for someone who thrives in a fast-moving environment and is passionate about shaping agentic, adaptive systems that balance automation with discernment.

Responsibilities

• Develop and deploy supervised and unsupervised models using Python, MLflow, and Databricks
• Collaborate on experimentation strategies, including A/B testing and causal inference
• Optimize model performance for latency, accuracy, and cost across cloud environments
• Contribute to the design of human-in-the-loop workflows and explainable AI systems
• Partner with data engineers to ensure robust data access and preprocessing
• Document model assumptions, limitations, and decision boundaries for transparency

• Data Scientists: Co-develop modeling strategies and validate performance metrics
• Data Engineers: Align on feature pipelines, data access, and model deployment infrastructure
• Product Managers: Translate business goals into ML use cases and success criteria
• Analytics Leads: Ensure model outputs are interpretable and actionable for stakeholders
• Governance & Ethics Teams: Collaborate on fairness, accountability, and risk mitigation

Minimum Education: High School or general equivalent

Minimum Experience: 3 years in data engineering or a closely related field

Preferred Experience: 5 years with hands on experience in Databricks or Spark based systems

Soft Skills

• Systems Thinking: Understands how models interact with broader workflows and user behavior
• Curiosity & Rigor: Balances experimentation with disciplined evaluation and reproducibility
• Communication: Explains complex modeling decisions to technical and non-technical audiences
• Ethical Judgment: Recognizes when automation should be constrained or augmented by human input
• Collaboration: Works fluidly across disciplines to co-create solutions that are both innovative and responsible

Travel: N/A

Hours & Conditions: Monday – Friday 8-hour day in office setting

Physical Requirements: Minimal physical effort required, sitting / standing at computer for long periods of time. Ability to maneuver and lift up to 10 lbs.

Additional Info

At Cumberland Farms, it’s important that our employees reflect the world we live in and the communities we serve. We celebrate our differences, so your unique background and skillset could bring a wonderful new perspective to our team. If you have a passion for delivering exceptional results, thrive in a fast-paced corporate environment, and bring experience in business management or related areas, we'd love to meet you - even if you don't meet every single requirement.

Consistent with Massachusetts Pay Transparency Law, we’re sharing the base salary range for this position. Final pay within this range will be based on your skills, experience, and qualifications. Base pay represents just one part of our total rewards approach. We’re proud to offer a variety of financial and non-financial benefits that invest in your overall growth, well-being, and career journey.