Staff Machine Learning Engineer

🕒 2 days ago

🇺🇸 United States – Remote

💵 $118.4k - $162.8k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Boulevard

WebsiteLinkedInAll Job Openings

201 - 500 employees

☁️ SaaS

💄 Beauty

🧘 Wellness

SaaS • Beauty • Wellness

Boulevard is a leading client experience platform designed for appointment-based, self-care businesses such as medspas, salons, spas, barbershops, and nail salons. With a focus on enhancing customer engagement and business efficiency, Boulevard offers a comprehensive suite of solutions including self-booking, client profiles, loyalty programs, payment systems, and marketing tools. The platform supports over 30,000 self-care professionals by streamlining scheduling, reports, and point-of-sale operations. Boulevard aims to elevate the self-care experience through innovative technology, empowering practitioners and delighting clients alike.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 401(k) match plus dental, medical, vision, and life insurance. • Flexible vacation day policy. • Fully remote work with a monthly stipend. • Family planning resources and specialized support programs. • Equity opportunities.