Senior Machine Learning Engineer, User Signal & Ads

📋 Description Build user-signal features at scale using batch and streaming pipelines. Develop identity-prediction models and embeddings for ads targeting. Apply model outputs inside ads targeting, bidding, and ranking. Own the model lifecycle: training, evaluation, deployment, monitoring. Ensure online features are low-latency for high-QPS bidding. Collaborate with Ads, Data, and Infra on feature design and implementation. 🎯 Requirements Bachelor's or Master's in CS/ML or related field. 5+ years' ML production experience. Strong ML: feature engineering, embeddings, eval. Python with PyTorch or TensorFlow; scikit-learn, pandas/NumPy. Large-scale data processing: Spark, Flink, SQL/Presto/Trino. End-to-end model lifecycle: training, deployment, monitoring. 🎁 Benefits Competitive compensation and benefits. Health, dental, and vision care (employee 100%). 401(k) with company matching. Paid time off and holidays. FSA/HSA and commuter benefits. Team activity budget.