Machine Learning Engineer

Role Overview

Take ownership of the full machine learning lifecycle, from research and experimentation to production deployment. Collaborate cross-functionally with Operations and Product teams to translate business needs into model-driven solutions.

What You Will Do

Research, train, and productionize ML models focused on engagement prediction, scoring, and search functionalities. Build robust backend infrastructure and APIs to reliably serve ML models at scale.

Why It Might Be a Fit

Demonstrated experience shipping production ML systems that real users depend on. Strong backend engineering skills, particularly with Python and Django or similar frameworks.

Requirements

• Demonstrated experience shipping production ML systems that real users depend on
• Strong backend engineering skills, particularly with Python and Django or similar frameworks
• Proven ability to thrive in fast-paced, ambiguous environments with a high degree of ownership and initiative
• Solid foundation in machine learning, statistics, and classification, with experience in building backend infrastructure and APIs

Benefits

• Visa sponsorship
• Competitive compensation package
• Benefits not explicitly mentioned