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NewsBreak

Senior Machine Learning Engineer, User Signal & Ads

NewsBreak · Bellevue, Washington, United States

Posted 2 days ago

or apply directly on NewsBreak's site. We never take the application ourselves.

Is this posting real?

This role has been open
2 days
NewsBreak's roles stay open a median of 44 days
Reposted
No
Salary listed
No
15% of NewsBreak's roles list one
Ghost-job risk at NewsBreak
high
25 stale, 0 reposted of 55 open
Hiring momentum
61 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from NewsBreak's own greenhouse board since 2026-08-03. Full hiring picture for NewsBreak.

About this role

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.

Our read on this posting3.6out of 5
benefits
3/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of NewsBreak as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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.

Summarised from NewsBreak's posting. Read the full original.

Listed by NewsBreak on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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