Machine Learning Engineer
Apple
- Cupertino, California, United States
- Cupertino, California, United States
À propos
Description
As a Machine Learning Engineer on our team, you will build and iteratively refine model pipelines that enable rich text experiences on Wallet products. You will conduct experiments and create prototypes for new approaches to improve the quality of our generative language models, translating customer needs into analytical solution. You will work hand in hand with software engineers, data scientists, and product partners. Finally, you will implement the building blocks and infrastructure that bring these innovations into our production pipelines, and contribute evaluate metrics for measuring forward progress.
Minimum Qualifications
MS or PhD in Computer Science or related field with 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
Preferred Qualifications
Experience building and maintaining model pipelines end-to-end, from data curation to evaluation
Ability to design and implement experiments that bring NLP research ideas into production
Familiarity with LLMs, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
Excellent written and verbal communication skills.
Compétences linguistiques
- English
Avis aux utilisateurs
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