Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities

What you'll do

• Lead a team of engineers to build scalable, automated systems for end-to-end evaluation of personalized Agentic Search.
• Design and implement offline and online metrics to assess quality for Personal Question Answering.
• Develop data generation and curation methods to support high-quality evaluation systems.
• Create metrics frameworks for continuous quality assessment and iterative product improvement.
• Define the long-term technical vision and roadmap for personalized Siri Search quality.
• Identify technical gaps and drive solutions to enhance the Personal Question Answering stack.
• Define data and evaluation requirements in coordination with partner teams.

What we're looking for

• 6 or more years of industry experience building machine learning or machine learning evaluation systems at scale.
• 2 or more years of industry experience in technical leadership or management.
• Knowledge of machine learning fundamentals, neural network architectures, and software engineering in Python or C/C++.
• Communication and collaboration skills.
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
• Experience designing and building production machine learning systems in search, NLP, recommendation systems, or information retrieval (preferred).
• Experience in data collection, data generation, or data quality assessment of language, image, or multimodal data (preferred).
• Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience (preferred).