Senior Machine Learning Engineer, User Signal & Ads

The role

You will design and build data and ML systems that transform raw user signals into production targeting and bidding features. You will own the signal-to-model pipeline, including feature building, identity prediction models, and applying predictions to ads models.

What you will do

• Build user-signal features at scale using offline and online feature pipelines
• Develop user-understanding models including identity prediction, embeddings, and intent prediction
• Apply model outputs inside ads targeting, bidding, and ranking models
• Own the model lifecycle including data preparation, training, deployment, and monitoring
• Bridge modeling and serving to ensure low latency for real-time bidding
• Improve signal quality and coverage by building data quality and validation systems
• Collaborate cross-functionally with Ads, Data, and Platform teams
• Provide technical leadership through design reviews, best practices, and mentoring

Required qualifications

• 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
• 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
• Experience taking models from idea to production: training, deployment, monitoring, and iterating based on metrics and A/B tests
• Strong analytical and problem-solving skills

Nice to have

• Direct experience in Ads, recommendation, search, or growth ML
• Experience with user-signal / behavioral data
• Familiarity with online feature serving
• Experience with streaming systems (Kafka, Flink, Spark Streaming)
• Knowledge of the big-data ecosystem and modern ML platforms / MLOps tooling
• Experience with large-scale / distributed model training and inference optimization
• A track record of measurable business impact from ML work

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

About the company

NewsBreak is a local life and news platform with more than 40 million monthly users. The company includes NewsBreak, Nearby AI, and NDot AI.