Staff Data & Machine Learning Engineer

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 the modern data stack, including dbt, Snowflake, data streaming technologies, and Looker or Omni.
• Strong understanding of semantic layer design, dimensional modeling, and data architecture best practices.
• Broad knowledge of data governance, data quality, observability, and analytics/security best practices.
• 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.

How We'll Take Care of You

At Boulevard, we work hard to structure 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. For all other U.S. locations, the anticipated base salary range is 118,400 - 162,800 per year. In addition to this base compensation, this role may be eligible to participate in a variable compensation program. Final compensation will vary based on a variety of factors which include but are not limited to applicable experience, location, and final leveling.