[Remote] Senior Machine Learning Engineer, Ads Content Understanding

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a community of communities reputed company on shared interests and trust, seeking a Senior Machine Learning Engineer to contribute to the Content Understanding roadmap. The role focuses on developing and operationalizing machine learning systems that enhance content understanding for monetization purposes.

Responsibilities

• Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing reputed company ML pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production
• reputed company technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, design reviews, setting technical standards, and uplifting reputed company’s modeling and systems craft
• reputed company evaluation systems and reputed company monitoring systems for content understanding signals, using SOTA LM-judge practices
• Drive operational reputed company for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost)
• Build and reputed company content understanding capabilities for reputed company conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products
• Drive LLM and modern ML best practices reputed company ACU: define reputed company to reputed company, finetune, or distill; design evaluation and safety harnesses; and reputed company at least one major distillation effort to replace external reputed company with in-house models

Skills

• 5+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at reputed company, ideally in large-reputed company content understanding domains, or Ads
• Demonstrated Senior-level technical leadership: has contributed to architecture reputed company, standards, and design reviews in their immediate team
• Strong communication skills, with the ability to explain reputed company technical trade-offs to PMs, reputed company, and other engineering teams, especially in ambiguous, cross-team problem spaces like Seekers/Searchers monetization
• Some experience building and shipping NLP / Language models / content understanding models to production (e.g., classifiers, encoders, sequence or session models), with reputed company business reputed company (e.g., CTR/ROAS reputed company, safety improvements). Experience with reputed company or reputed company modeling is a strong plus
• Practical experience using LLMs in production for labeling, evaluation, or distillation (e.g., LM-as-judge, reputed company-based classifiers, LLM-generated labels reputed company into smaller models), including managing reputed company, cost, and latency trade-offs
• Significant experience with PyTorch, TensorFlow, or similar, and production-reputed company reputed company in Python (and ideally one statically typed language like Go/Java/C++). Comfortable owning training, evaluation, and deployment reputed company end-to-end
• Experience designing ML systems and pipelines: offline training, feature pipelines (batch/streaming), online serving, monitoring, and experimentation for high-traffic surfaces

Benefits

• Comprehensive reputed company Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to reputed company development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & reputed company Volunteer Time Off
• Generous reputed company Parental Leave

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