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Boulevard

Staff Machine Learning Engineer

RemoteUnited States only
Published
Role
AI / ML
Experience
Staff
$136k–$171k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff-level ML engineer with 7+ years combined Data Engineering + ML experience and 3+ years deploying ML in production. Strong Python and SQL skills, experience with modern cloud data platforms (Snowflake/Databricks), MLOps, semantic data models, and building LLM/embeddings/recommendation/forecasting-based products. Role is remote but US-only (Remote - USA).

Core skills

LLMsfeature engineeringMLOps

Required skills

PythonSQLSnowflake/Databricksembeddingsrecommendation systemsforecasting modelssemantic data modeling

Optional skills

Snowflake Cortex

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 continue 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 they require

  • 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.
  • Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams.

Benefits

  • Anticipated base salary ranges provided for US locations and regions
  • Variable compensation program (role may be eligible)
  • 401(k) match
  • Dental, medical, vision, and life insurance
  • Flexible vacation day policy
  • Fully remote; monthly work from home stipend
  • Family planning resources and specialized support programs
  • Equity
  • Boulevard Bucks Learning and Development program

Boulevard provides a client experience platform purpose-built for appointment-based self-care businesses, powering bookings, payments, memberships, marketing, and more for medspas, salons, spas, barbershops, and related businesses.

TechnologyStartup
$136k–$171k/yr