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Staff Machine Learning Engineer

🕒 July 15

đŸ‡ș🇾 United States – Remote

đŸ’” $118.4k - $162.8k / year

⏰ Full Time

🔮 Lead

đŸ€– Machine Learning Engineer

🩅 H1B Visa Sponsor

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đŸ‘» Ghost score 15%

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Logo of Boulevard

Boulevard

201 - 500 employees

đŸ’Œ Consulting

đŸ„ Healthcare

🏹 Hospitality

Consulting ‱ Healthcare ‱ 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.

📋 Description

‱ Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics, automation, and intelligent product experiences ‱ Develop and operationalize end-to-end ML workflows from data preparation and feature engineering through model training, deployment, monitoring, and continuous improvement ‱ Build scalable AI solutions using 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 AI-powered data products ‱ Design and evolve semantic data models for accurate, consistent, and scalable organizational analytics ‱ 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 ‱ Experience using modern ML frameworks and AI tooling ‱ Experience designing scalable data pipelines, data quality, governance, and modern cloud data platforms such as Snowflake, Databricks, or similar ‱ Strong understanding of semantic layer design, MLOps practices, and data modeling principles supporting reliable CI/CD for ML workloads ‱ Experience building data products leveraging LLMs, embeddings, forecasting, recommendation systems, or other ML technologies ‱ Excellent problem-solving, communication, and collaboration skills ‱ Ability to work effectively across global and cross-functional teams

đŸ–ïž Benefits

‱ 401(k) match ‱ Dental insurance ‱ Medical insurance ‱ Vision insurance ‱ Life insurance ‱ Flexible vacation day policy ‱ Fully remote work ‱ Monthly work-from-home stipend ‱ Family planning resources ‱ Specialized support programs ‱ Equity ‱ Boulevard Bucks Learning and Development program

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