Manager, Machine Learning Engineering, Ad Platforms

What you'll do

• Lead and mentor data scientists and machine learning engineers to build scalable model architectures and algorithms.
• Oversee the end-to-end machine learning workflow including data collection, development, deployment, and modeling.
• Translate product requirements into well-defined technical implementations for high-performance advertising platforms.
• Drive adoption of best practices in code quality, testing, documentation, and MLOps pipelines.
• Define strategic direction for ML projects while collaborating with cross-functional stakeholders to prioritize high-impact opportunities.
• Ensure responsible AI practices including fairness, explainability, and compliance with privacy standards.
• Explore and integrate new machine learning techniques, tools, and technologies into the existing infrastructure.
• Communicate project progress, technical strategies, and results to leadership and internal partners.

What we're looking for

• Bachelor’s or master’s degree in computer science, engineering, mathematics, statistics, or a related field.
• At least 8 years of relevant industry experience.
• At least 2 to 3 years of experience in a people-management or technical leadership role.
• Proficiency in programming languages such as Python or Java and experience with ML/DL frameworks like TensorFlow, PyTorch, JAX, or Hugging Face.
• Proven ability to design, build, and deploy scalable machine learning models and systems in production using cloud platforms and MLOps practices.
• Experience building, fine-tuning, and deploying LLM-based systems including RAG, prompt engineering, and model optimization.
• Demonstrated ability to lead global teams and collaborate across organizational boundaries.
• Knowledge of the Ad Tech industry and experience with large-scale data and distributed systems.