Staff Data & Machine Learning Engineer

Who is Boulevard?

Boulevard provides the first and only client experience platform for appointment-based, self-care businesses. We empower our customers to give their clients more of the magical moments that matter most.

Before launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could design a modern, user-friendly platform that meets the unique needs of their business. Our roots may be in hair salons, but we are built for the broader self-care industry, including many types of salons, spas, medspa, barbershops, and more. Our technology not only helps our customers survive but thrive. Take a look at how we (and YOU) can make that happen .

We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication, and we design each and every detail to maximize potential, power, and impact. Do our values match? Read through our story and what we value the most .

Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too.

Come do the best work of your life at Boulevard.

We’re looking for a Senior ML Engineer to help shape the next generation of our data platform and customer-facing data products. In this role, you will design, build, and scale the systems that carry data from raw events to customer-facing experiences — and the machine learning and generative AI workloads that run on top of them. You’ll collaborate closely with product, engineering, and cross-functional partners to tackle complex data challenges, develop impactful ML use cases, and create reliable, high-quality data solutions tailored to our customers’ needs.

What You'll Do:

• Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
• Build and operationalize ML and AI workflows — from development to deployment and monitoring — that streamline operations, reduce manual effort, and improve customer and business outcomes.
• Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
• Implement data quality, observability, and governance frameworks to ensure reliable, well-managed data at scale.
• Document data flows, integration contracts, and operational runbooks to support efficient scaling and handoff.

What You’ll Need to Thrive

• 5+ years of experience in data engineering.
• 2+ years of experience building, deploying, or supporting machine learning systems in production environments.
• Strong proficiency in SQL and Python, with experience leveraging ML frameworks and AI tooling.
• 3+ years of experience working with