Staff Machine Learning Engineer

Boulevard

Staff ML Engineer at Boulevard building AI solutions for a unique client experience platform in self-care businesses. Collaborating with teams to enhance customer-facing analytics and automation.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesLead💰 $118,400 - $162,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying production-grade machine learning systems, with a strong focus on data engineering, MLOps practices, and scalable AI solutions. Proven ability to mentor teams and influence architectural standards while collaborating effectively across cross-functional teams.

Highest-signal resume keywords

Machine Learning System DeploymentData Pipeline DesignPython ProgrammingSQL ProficiencyMLOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData EngineeringFeature EngineeringModel TrainingModel MonitoringData QualityData GovernanceData ModelingCI/CD for MLSemantic Layer Design

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

SnowflakeDatabricksLLMsEmbeddingsRecommendation SystemsForecasting ModelsSnowflake Cortex

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.