
201 - 500 employees
đŒ Consulting
đ„ Healthcare
đš Hospitality
Consulting âą Healthcare âą Hospitality
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.
đ July 15
đșđž United States â Remote
đ” $118.4k - $162.8k / year
â° Full Time
đŽ Lead
đ€ Machine Learning Engineer
đŠ H1B Visa Sponsor
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201 - 500 employees
đŒ Consulting
đ„ Healthcare
đš Hospitality
Consulting âą Healthcare âą Hospitality
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.
âą Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics, automation, and intelligent product experiences âą Develop and operationalize end-to-end ML workflows from data preparation and feature engineering through model training, deployment, monitoring, and continuous improvement âą Build scalable AI solutions using LLMs, embeddings, recommendation systems, forecasting models, and other modern ML techniques âą Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products âą Design and evolve semantic data models for accurate, consistent, and scalable organizational analytics âą Mentor engineers, provide technical leadership, and influence architecture and engineering standards across teams
âą 7+ years of combined experience in Data Engineering and Machine Learning roles âą 3+ years of experience building, deploying, and operating machine learning systems in production environments âą Strong programming skills in Python and SQL âą Experience using modern ML frameworks and AI tooling âą Experience designing scalable data pipelines, data quality, governance, and modern cloud data platforms such as Snowflake, Databricks, or similar âą Strong understanding of semantic layer design, MLOps practices, and data modeling principles supporting reliable CI/CD for ML workloads âą Experience building data products leveraging LLMs, embeddings, forecasting, recommendation systems, or other ML technologies âą Excellent problem-solving, communication, and collaboration skills âą Ability to work effectively across global and cross-functional teams
âą 401(k) match âą Dental insurance âą Medical insurance âą Vision insurance âą Life insurance âą Flexible vacation day policy âą Fully remote work âą Monthly work-from-home stipend âą Family planning resources âą Specialized support programs âą Equity âą Boulevard Bucks Learning and Development program
Apply Nowđ July 14
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