Senior Machine Learning Engineer

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

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 Qualifications

• 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

Benefits

• Annual US base salary range of $150,000 – $300,000
• Equity compensation
• Top-tier medical, dental, and vision benefits
• Generous hardware budget for remote work setup
• Flexible, remote-first culture with minimal synchronous meetings

About the Company

CloudX is building a new AI-native supply-side advertising platform for mobile publishers. Following a $30M Series A, we are leveraging our founding team's experience building MoPub and MAX to create a platform that uses machine learning to maximize lifetime customer value for publishers.