Lead Machine Learning Engineer
Core
Lead development, training, and deployment of advanced ML models for identity resolution, look-alike modeling, and cross-platform measurement; architect scalable ML platforms and reusable components for distributed cloud environments.
Role type
Senior individual contributor Lead Machine Learning Engineer
Builds
Predictive systems for identity, audience, and cross-platform measurement; scalable ML pipelines and data foundations
Domain
Media, advertising technology, cross-platform audience measurement
Deliverable
production ML models
Required skills
Deep learning and genAI development, real-time data pipeline engineering, Python and SQL, cloud-native data platforms (Snowflake/Databricks), container orchestration (Docker/Kubernetes), MLOps and model governance
Preferred skills
Media/ad tech experience, identity graphs and audience measurement, modern MLOps stacks (MLflow, Kubeflow, Vertex AI, SageMaker), open-source contributions
Technologies
PyTorch, vector databases, Kafka, Pub/Sub, Kinesis, Snowflake, Databricks, Spark, BigQuery, Docker, Kubernetes, MLflow, Kubeflow, Vertex AI, SageMaker
Responsibilities
Lead development of advanced ML models for identity resolution and cross-platform measurement; Architect scalable ML platforms and reusable components; Lead data and feature foundations with automated quality controls; Establish MLOps patterns including CI/CD, model versioning, and drift detection; Drive cross-functional technical leadership and design reviews; Mentor engineers and build shared libraries; Ensure privacy, governance, and compliance in ML workflows
Seniority
Senior, hands-on IC with technical leadership
