Senior Machine Learning Engineer, User Signal & Ads

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field (or equivalent practical experience).
• 5+ years of industry experience as an ML engineer / applied scientist, building and shipping ML models in production (not just research or offline prototyping).
• Strong foundation in machine learning: feature engineering, supervised learning, embeddings/representation learning, and offline + online evaluation methodology.
• 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 — including building production feature or training-data pipelines.
• Experience taking models from idea to production: training, deployment, monitoring, and iterating based on real metrics and A/B tests.
• Strong analytical and problem-solving skills, and the ability to reason about model behavior, data quality, and business impact end to end.
• Preferred Qualifications
• Direct experience in Ads, recommendation, search, or growth ML — especially targeting, bidding, ranking, CTR/CVR prediction, or identity prediction.
• Experience with user-signal / behavioral data: event pipelines, identity prediction, user embeddings, and applying model outputs back into downstream ranking/bidding models.
• Familiarity with online feature serving — feature stores, embedding/vector stores, and low-latency, high-QPS inference for real-time bidding.
• Experience with streaming systems (Kafka, Flink, Spark Streaming) for real-time feature computation.
• Knowledge of the big-data ecosystem (Hadoop, Spark, Hive, Presto/Trino) and modern ML platforms / MLOps tooling (training orchestration, experiment tracking, model registries, feature stores).
• Experience with large-scale / distributed model training and inference optimization (e.g. distributed training, embedding tables, quantization, efficient serving).
• A track record of measurable business impact (revenue, ROAS, CTR/CVR lift) from ML work, and of driving technical direction across teams.

What we offer

Benefits

• We offer a competitive benefits package:
• 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
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