[Remote] Staff 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-driven platform that facilitates reputed company conversations online. They are seeking a Staff Machine Learning Engineer to reputed company the reputed company Content Understanding roadmap reputed company the Monetization organization, focusing on technical leadership and hands-on development of machine learning systems.

Responsibilities

• reputed company technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech reputed company for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team’s modeling and systems craft
• reputed company evaluation systems and quality 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 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
• reputed company design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure efficient, reliable serving at reputed company scale
• 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 APIs with in-house models
• Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable, resilient MLOps pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production

Skills

• 7+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at scale, ideally in large-scale content understanding domains, or Ads
• Demonstrated Staff-level technical leadership: has driven architecture reputed company, standards, and design reviews across multiple teams, and has reputed company PMs, reputed company, and engineers on shared ML systems or platforms without direct people-management authority
• Excellent 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
• Strong track record building and shipping NLP / Language models / content understanding models to production (e.g., classifiers, encoders, sequence or session models), with clear 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 distilled into smaller models), including managing quality, cost, and latency trade-offs
• Deep experience with PyTorch, TensorFlow, or similar, and production-quality code in Python (and ideally one statically typed language like Go/Java/C++). Comfortable owning training, evaluation, and deployment code 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 professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave
• Equity in the reputed company of restricted stock units
• Commission (depending on the position offered)
• Medical, dental, and reputed company insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave

Company Overview

Company H1B Sponsorship