Staff Machine Learning Engineer

About the role

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 and 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 continuous 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.

How We'll Take Care Of You

• Compensation: 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. Variable compensation may be available.
• Health & Wellness: Dental, medical, vision, and life insurance.
• Time Off: Flexible vacation day policy.
• Remote Work: Fully remote with a monthly work-from-home stipend.
• Family Support: Family planning resources and specialized support programs.
• Equity: Equity grants to grow with Boulevard.
• Learning & Perks: Boulevard Bucks for exploring local self-care businesses and a dedicated learning and development program.