Role overview

Staff Machine Learning Engineer, Ads Measurement Modeling

Requirements and responsibilities

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Details

  • 7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale
  • Demonstrated experience architecting and building ads measurement modeling solutions leveraging advanced machine learning techniques
  • Strong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their use in identity resolution
  • Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference
  • Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink)
  • Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal)
  • Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for identity resolution
  • Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models
  • Design and train advanced ML models while ensuring accuracy, scalability, and compliance with privacy requirements, managing trade-offs between complexity, latency, and prediction quality
  • Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—optimizing for performance and cost
  • Partner with cross-functional teams (e.g., product management, data science, platform engineering, privacy, legal) to define the roadmap and set long-term goals
  • Establish engineering best practices, code quality standards, and data governance guidelines to ensure maintainability and trustworthiness of the identity graph
  • Mentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organization
  • Comprehensive Healthcare 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
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Browse stack
FocusAds EngineeringRole area
Seniority signalLeadCandidate level
StackSparkPrimary skills
Location1 accepted countryEligibility

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