Senior Machine Learning Engineering Manager, Ad Platforms

What you'll do

• Lead and mentor a team of data scientists and machine learning engineers to build scalable model architectures and algorithms.
• Define the strategic direction for machine learning projects in collaboration with product and engineering stakeholders.
• Oversee the end-to-end machine learning workflow, including data collection, model development, and production deployment.
• Drive the adoption of best practices for code quality, testing, documentation, and MLOps pipelines.
• Translate complex business requirements into well-defined technical implementations for high-performance ad serving systems.
• Ensure responsible AI practices by maintaining standards for fairness, explainability, and ethical compliance.
• Identify and prioritize high-impact machine learning opportunities through cross-functional partnerships across the organization.
• Communicate project progress, strategies, and results to leadership and various cross-functional teams.

What we're looking for

• Bachelor’s or master’s degree in computer science, engineering, mathematics, statistics, or a related field.
• 10+ years of relevant industry experience.
• At least 5 years of experience in people management, specifically managing senior individual contributors and managers.
• Proven ability to translate business problems into scalable machine learning and GenAI solutions.
• Experience designing, building, and deploying scalable machine learning models and systems in production using cloud platforms and MLOps practices.
• Advanced programming proficiency in Python, Java, or similar languages.
• Proficiency with ML/DL frameworks such as TensorFlow, PyTorch, JAX, or Hugging Face.
• Experience building, fine-tuning, evaluating, and deploying LLM-based systems including RAG, prompt engineering, and model optimization.