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

Key Skills

Design, Effective communication skills, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, Natural language generation- NLG, Python Programming

Job Description

As a Machine Learning Research Engineer on our team, you will build and iteratively refine model pipelines that enable multilingual text input experiences on Apple products. You will conduct experiments and create prototypes for new approaches to improve the quality of our models add new dimensions to their intelligence, in consideration of specific linguistic requirements and design considerations. 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.

KEY RESPONSIBILITIES:

• Development and maintenance of modeling pipelines that scale to multiple languages and production deployment

• Definition of robust automated evaluation metrics to facilitate hillclimbing model quality

• Failure analysis to understand shortcomings of our models

• Research into techniques for improving model behavior

• Curation and synthesis of representative training and evaluation data

• Implementation of experiments and simulations to assess the value of model changes

• Collaboration with language experts and QA to refine modeling approach in consideration of language-specific requirements

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 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
• Background in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences
• Excellent written and verbal communication skills
• History of developing Python packages and supporting other users
• Record of publications, innovations, and/or leadership

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.