Resumo da vaga

Staff Machine Learning Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

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 You’ll Need to Thrive

  • 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.

Details

  • ✨ We’ve got you covered with a 401(k) match plus dental, medical, vision, and life insurance.
  • 🏝 Take a break whenever you need with our flexible vacation day policy.
  • 🖥 Fully remote so you can choose where you want to work. You’ll receive a work from home stipend every month.
  • 💚 Family planning resources and specialized support programs.
  • 🔮 Equity: get ahead on the ground floor and grow with Boulevard.
  • 💅 Boulevard Bucks Learning and Development program allows employees to explore businesses in the market we serve.
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FocoMachine Learning EngineeringÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackCI/CD, Python, SnowflakeSkills principais
Localização1 país aceitoElegibilidade

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