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Senior Machine Learning Engineer

Trafilea · Remote

Data Science / AI / Machine LearningSenior LevelRemoteQuick applyfull-time3 days ago

About The Role

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.

We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.

Why Trafilea

  • We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
  • 🚀 We build and scale our own brands.
  • 🦾 We invest in AI and automation like few others in eCom.
  • 📈 We test fast, grow fast, and help you do the same.
  • 🤝 Be part of a dynamic, diverse, and talented global team.
  • 🌍 100% Remote, USD competitive salary, paid time off, and more.

Key responsibilities

As a Sr. Machine Learning Engineer, you’ll lead the development and deployment of advanced ML models and scalable systems that power critical business decisions.

You will

  • Develop production-ready machine learning systems with robust testing and scalable architecture
  • Build and improve forecasting and optimization models using XGBoost and advanced ML techniques
  • Design data pipelines and ML workflows that transform raw data into business intelligence
  • Bring research into production through experimentation, iteration, and deployment
  • Integrate ML systems into real business operations and user-facing tools
  • Drive model explainability initiatives using SHAP values and LLM-powered insights
  • Collaborate closely with Growth, Marketing Science, Product, and Engineering teams
  • Influence technical strategy while aligning ML initiatives with business impact
  • Mentor team members and help elevate engineering and ML standards across the organization

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