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Senior Machine Learning Engineer, User Signal & Ads

NewsBreak
Location
Bellevue, Washington, United States
Posted
6 days ago
Department
Engineering
What they actually want (must-haves)
  • 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 real metrics and A/B tests
Nice to have
  • 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)
What the job really is

The Senior Machine Learning Engineer will design and build data and machine learning systems that transform raw user signals into production-ready targeting and bidding features for the advertising platform. This role involves end-to-end ownership of the signal-to-model pipeline, including feature engineering, model development, and integration into ads models, with a strong emphasis on real-time performance and collaboration with cross-functional teams.

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
Things to weigh
  • No specific mention of remote work options or flexibility in work hours.
  • The role requires significant hands-on work and technical leadership, which may not suit candidates looking for a purely research-focused position.
  • The salary range is provided, but actual pay may vary based on multiple factors, which could lead to uncertainty for candidates.
Job score3.6/5
Benefits3/5
Freshness5/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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