Senior Machine Learning Engineer, NLP, Personal Intelligence & Experiences

What you'll do

• Build and refine machine learning models for new user interface experiences.
• Develop and maintain scalable modeling pipelines that support multiple languages and production deployment.
• Define robust automated evaluation metrics to measure and improve model quality.
• Conduct failure analysis to identify and address specific model shortcomings.
• Curate and synthesize representative training and evaluation data.
• Implement experiments and simulations to assess the value of model modifications.
• Research techniques to enhance model behavior and expand intelligence.

What we're looking for

• MS or PhD in Computer Science or a related field.
• At least 2 years of industry experience.
• Strong Python programming skills with experience developing production-quality Python modules.
• Solid background in machine learning, data science, natural language processing, or statistics.
• Experience building and maintaining model pipelines end-to-end, from data curation to evaluation (preferred).
• Ability to design and perform experiments that bring ML and NLP research ideas to production (preferred).
• Familiarity with LLMs, including SFT, RLHF, prompt engineering, data synthesis, automatic evaluation, and RAG (preferred).
• History of developing in Python and/or Swift (preferred).