Senior Machine Learning Engineer

Job Description

REQUIREMENTS

• Experience shipping ML models into production request paths under latency SLOs
• Proven experience managing offline-to-online feature parity and training/serving skew
• Experience running real-world experiments to measure direct revenue impact
• Proficiency in Python and hands-on coding expertise
• Willingness to learn Golang to contribute to production serving code
• Strong written communication skills for explaining complex technical concepts

Preferred

• Experience in adtech (SSP, DSP, RTB) or low-latency revenue-objective domains like search ranking or marketplace pricing
• Hands-on experience with contextual bandits, reinforcement learning, or Thompson sampling
• Familiarity with AWS, ONNX, XGBoost/LightGBM, ClickHouse, or Kubernetes

RESPONSIBILITIES

• Design, train, evaluate, and ship ML models that power revenue-optimization products
• Own the full ML lifecycle from feature definition through production deployment and online evaluation
• Drive product strategy by working with Product teams to sequence the roadmap for ML-driven publisher controls
• Lead the establishment of ML discipline at CloudX, setting technical direction and raising the bar for engineering excellence
• Make critical architectural decisions regarding models, training frameworks, and serving approaches

Are you interested in this position?

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