Senior/Machine Learning Engineer — Performance Optimization

📋 Description Build, train, and improve ML models for prediction, ranking, and optimization. Work with large-scale datasets from auctions, impressions, clicks, conversions. Develop features, datasets, labels, and evaluation workflows for performance ads. Analyze model performance offline and online; track business KPIs. Deploy models into production decisioning systems with cross-functional teams. Collaborate with product, analytics, and platform teams to translate problems into ML work. 🎯 Requirements 3+ years building ML, data science, ranking, or large-scale data systems. Strong ML fundamentals: supervised learning, classification, regression, ranking. Experience training, evaluating, and improving production ML models. Experience with large datasets using SQL, Spark, Python, or similar tools. Strong programming skills in Python, Java, Scala, Go, C++, or similar. Ability to reason about model quality, data quality, business impact, and production tradeoffs. Comfort with ambiguous data problems and iterative analysis, modeling, and deployment. BS or MS in CS, ML, Statistics, Mathematics, Engineering, or related field, or equivalent practical experience. 🎁 Benefits Hybrid work: 3 days in office, 2 remote. Comprehensive health, dental, vision, life, and disability insurance. Commuter benefits and wellness programs. Unlimited DTO in the US; use required. In-office catered lunches 5 days a week. Reimbursement for mobile and pantry expenses.