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.

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 Staff ML Engineer to help shape the next generation of our data and AI platform. In this role, you will design, build, and scale machine learning and AI-powered solutions on top of our modern data platform to power conversational analytics, automation, and customer-facing experience. You’ll collaborate closely with product, engineering, and cross-functional partners to tackle complex data challenges, identify high-impact AI opportunities for our customers.

What You'Ll Do

: Design, build and deploy production-grade machine learning and AI systems that power customer-facing analytics, automation, and intelligent product experience. Develop and operationalize end-to-end ML workflows - from data preparation and feature engineering to model training, deployment, monitoring and continue improvement. Build scalable AI solutions leveraging LLMs, embeddings, recommendation systems, forecasting models, and other modern ML techniques.

Collaborate with Product and Engineering teams to identify high-impact use cases and deliver seamless AI-powered data products. Design and evolve semantic data models that enable accurate, consistent, and scalable analytics across the organization. Mentor engineers, provide technical leadership, and influence architecture and engineering standards across teams.

What You’ll Need to Thrive 7+ years of combined experience in Data Engineering and Machine Learning roles 3+ years of experience building, deploying, and operating machine learning systems in production environments. Strong programming skills in Python and SQL, with experience using modern ML frameworks and AI tooling. Experience designing scalable data pipelines, data quality, governance and working with modern cloud data platforms such as Snowflake, Databricks, or similar.

Strong understanding of semantic layer design, MLOps practices, and data modeling principles that support reliable CI/CD for ML workloads. Experience building data products that leverage LLMs, embeddings, forecasting, recommendation systems, or other ML technologies. Experience with Snowflake Cortex is a plus.

Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams.

Compensation

in a way that balances internal equity with local market competitiveness, and we’re happy to share a good-faith estimate of the base salary range for this role. For candidates in NYC, the SF Bay Area, and Seattle, the anticipated base salary range is 136,000 - 171,000 per year. S.

locations, the anticipated base salary range is 118,400 - 162,800 per year.

Staff Machine Learning Engineer