Senior Machine Learning Engineer, User Signal & Ads

What you'll do

• Build and own offline and online batch and streaming feature pipelines for user signals.
• Develop user-understanding models, especially identity prediction, and integrate their outputs into ads models.
• Own model lifecycle and online serving, including evaluation, deployment, monitoring, iteration, and measurable business impact.

What they ask for

• 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 building and shipping ML models in production.
• Strong foundation in feature engineering, supervised learning, embeddings/representation learning, and offline and online evaluation.
• Proficiency in Python and a solid ML stack; hands-on large-scale data processing and production feature or training-data pipelines.

Nice to have

• Direct Ads, recommendation, search, or growth ML experience, especially targeting, bidding, ranking, or identity prediction.
• Experience with user-signal data, online feature serving, streaming systems, distributed model training, or MLOps tooling.

Pay

$185,000 — $235,000 USD (base salary)

Tools

Python, PyTorch, TensorFlow, scikit-learn, pandas/NumPy, Spark, Flink, SQL/Presto/Trino

AI focus

Develop identity-prediction and other user-understanding models, embeddings, and signals; apply model outputs to ads targeting, bidding, and ranking.