Machine Learning Research Engineer, Natural Language Generation (NLG), Input Experience

Key Skills

Large Language Models - LLMs, Linguistic, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch

Job Description

We are looking for a Machine Learning Research Engineer to help our ML models grow even smarter and reason about personal context in a privacy-preserving way. You will build and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the focused iteration that makes the user experience magical. You will join an ambitious, organized, and collaborative team in a unique position to integrate the latest innovations from the ML community and work on features that reach everyday users, including your family and friends. You’ll work closely with teams across Apple, collaborating on human interfaces, user studies, internationalization, ML technologies, system integration, and more.

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something—you’ll add something!

As a Machine Learning Research Engineer on our team, you will build and iteratively refine model pipelines that define the intelligent behaviors built deeply into the text input experience on Apple products. You will conduct experiments and create prototypes for new approaches to improve the quality of our models and add new dimensions to their intelligence. Finally, you will implement the building blocks and infrastructure that bring these innovations into our production pipelines.

KEY RESPONSIBILITIES:

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

• 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

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

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 $135,400 and $250,600, 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.