Senior Machine Learning Research Engineer, Natural Language Generation (NLG), Apple Intelligence

About the Role

Key Responsibilities

• Build and iteratively refine model pipelines that enable multilingual text input experiences on Apple products.
• Conduct experiments and create prototypes for new approaches to improve model quality and add new dimensions to model intelligence.
• Implement the building blocks and infrastructure that integrate innovations into production pipelines.
• Define robust automated evaluation metrics to facilitate model quality improvements.
• Perform failure analysis to understand and address shortcomings of models.
• Research techniques for improving model behavior.
• Curate and synthesize representative training and evaluation data.
• Collaborate with language experts and QA teams to refine modeling approaches considering language-specific requirements.

Requirements

• MS or PhD in Computer Science or related field with at least 3 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.
• Ability to design and perform experiments that bring ML and NLP research ideas to production.
• Familiarity with LLMs, such as SFT, RLHF, prompt engineering, data synthesis, automatic evaluation, and RAG.
• Excellent written and verbal communication skills.

Nice to Have

• Background in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences.
• Experience with designing experiments for ML and NLP research in production environments.
• History of developing Python packages and supporting other users.
• Record of publications, innovations, and/or leadership in the field.

Qualifications

• MS or PhD in Computer Science or related field.
• At least 3 years of industry experience in relevant areas.

Benefits & Perks

• Base pay between $147,400 and $272,100, depending on skills, qualifications, experience, and location.
• Opportunity to participate in Apple's discretionary employee stock programs, including restricted stock units and stock purchase plans.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for educational expenses related to career development.
• Potential eligibility for discretionary bonuses or commissions and relocation assistance.