Staff Machine Learning Engineer, Ads Measurement Modeling

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead the technical strategy and architecture for our organization's advertising identity modeling solutions along with other related advertising measurement frameworks.

• Develop and train sophisticated machine learning models while ensuring they meet standards for accuracy, scalability, and compliance with privacy regulations, managing the trade-offs between complexity, latency, and predictive quality.

• Supervise the complete machine learning workflows—from data ingestion and feature engineering to model training, assessment, and deployment—focusing on optimizing both performance and cost-effectiveness.

• Collaborate with cross-functional teams (such as product management, data science, platform engineering, privacy, and legal) to outline the roadmap and establish long-term objectives.

• Implement engineering best practices, code quality standards, and data governance protocols to guarantee the identity graph's maintainability and reliability.

• Guide and mentor junior engineers, cultivating a culture of innovation, technical excellence, and knowledge sharing throughout the organization.

⛳️ Requirements

• Over 7 years of professional software engineering experience, with at least 3 years dedicated to scalable machine learning systems.

• Proven experience in designing and developing advertising measurement modeling solutions utilizing advanced machine learning methodologies.

• In-depth understanding of various identifiers (such as cookies, hashed emails, phone numbers, IP addresses, and user agents) and their applications in identity resolution.

• Expertise in machine learning frameworks (like TensorFlow and PyTorch) and libraries for feature engineering, model training, and inference.

• Strong grasp of large-scale data processing, distributed computing, and data infrastructure (including Spark, Kafka, Beam, and Flink).

• Demonstrated technical leadership in cross-functional environments, making architectural decisions and influencing stakeholders (including product, data science, privacy, and legal).

• Exceptional communication, mentoring, and collaboration abilities to align teams with a long-term vision for identity resolution.

🏝️ Benefits

• Comprehensive healthcare benefits and income replacement programs.

• 401k plan with employer matching.

• Global benefit programs tailored to your lifestyle, covering workspace, professional development, and caregiving support.

• Family planning support.

• Gender-affirming care.

• Mental health and coaching benefits.

• Flexible vacation and paid volunteer time off.

• Generous paid parental leave.