Machine Learning Engineer

Model Development

• Design, train, and evaluate ML models for ranking, recommendation, or NLP use cases within the product
• Run structured experiments and A/B tests to validate model impact against product metrics
• Iterate on features, labels, and model architecture based on production feedback

Production & Platform

• Build and maintain training and inference pipelines that run reliably at scale
• Own model deployment, versioning, monitoring, and rollback in production
• Partner with backend engineers to integrate models into existing services with low latency

Ideal Candidate Profile

• 2 to 6 years building and shipping ML models into production systems
• Strong Python skills and hands-on experience with PyTorch or TensorFlow
• Comfortable with the full lifecycle from data pipelines to deployed, monitored models
  • Clear written and spoken English and a reliable remote-work setup