Senior Machine Learning Engineer, User Signal & Ads

📋 Description

• Build user-signal features at scale: design, implement, and own offline and online feature
• Develop user-understanding models — especially identity prediction: build and improve models such
• Apply model outputs inside ads models: integrate identity-prediction results and other user signals
• Own the model lifecycle: data preparation, feature engineering, training, offline/online
• Bridge modeling and serving: ensure features and model outputs are available online with the
• Improve signal quality and coverage: identify gaps, biases, and freshness issues in user signals

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related
• 5+ years of industry experience as an ML engineer / applied scientist, building and shipping ML
• Strong foundation in machine learning: feature engineering, supervised learning
• Proficiency in Python and a solid ML stack (e.g. PyTorch or TensorFlow, scikit-learn, pandas/NumPy).
• Hands-on experience with large-scale data processing for ML — e.g. Spark, Flink, SQL/Presto/Trino —
• Experience taking models from idea to production: training, deployment, monitoring, and iterating

🎁 Benefits

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget