You need a degree in CS, 2+ years of industry experience, Python proficiency, ML/NLP expertise, and the ability to apply research ideas to production. Strong communication skills and a passion for NLP features and global scaling are a plus.

You will develop, evaluate, and improve natural language generation models for production, analyze failures, conduct research, curate training data, and implement experiments to enhance model performance.

Data

United States

Seattle

Health Insurance

Vision Insurance

Life Insurance

Maternity & Paternity Leave

Family Medical Leave

Bereavement Leave

Employee Discount

Diversity Program

Fortune 500

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.

Apple is an equal opportunity employer that is committed to inclusion and diversity. 

Technology

Apple

<ul><li>As a Machine Learning 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.</li></ul>Key responsibilities:<ul><li>Development and maintenance of modeling pipelines that scale to deployment in production</li><li>Definition of robust automated evaluation metrics to facilitate hillclimbing model quality</li><li>Failure analysis to understand shortcomings of our models</li><li>Research into techniques for improving model behavior</li><li>Curation and synthesis of representative training and evaluation data</li><li>Implementation of experiments and simulations to assess the value of model changes</li></ul>Minimum Qualifications:<ul><li>MS or PhD in Computer Science or related field with at least 2 years of industry experience</li><li>Strong Python programming skills, with experience developing production-quality Python modules</li><li>Solid background in machine learning, data science, natural language processing, or statistics</li></ul>Preferred Qualifications:<ul><li>Experience building and maintaining model pipelines end-to-end, from data curation to evaluation</li><li>Ability to design and perform experiments that bring ML and NLP research ideas to production</li><li>Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG</li><li>Excellent written and verbal communication skills</li><li>History of developing Python packages and supporting other users</li><li>Record of publications, innovations, and/or leadership</li><li>Background in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences</li></ul>

Masters

As a Machine Learning 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 productionDefinition of robust automated evaluation metrics to facilitate hillclimbing model qualityFailure analysis to understand shortcomings of our modelsResearch into techniques for improving model behaviorCuration and synthesis of representative training and evaluation dataImplementation of experiments and simulations to assess the value of model changesMinimum Qualifications:MS or PhD in Computer Science or related field with at least 2 years of industry experienceStrong Python programming skills, with experience developing production-quality Python modulesSolid background in machine learning, data science, natural language processing, or statisticsPreferred Qualifications:Experience building and maintaining model pipelines end-to-end, from data curation to evaluationAbility to design and perform experiments that bring ML and NLP research ideas to productionFamiliarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAGExcellent written and verbal communication skillsHistory of developing Python packages and supporting other usersRecord of publications, innovations, and/or leadershipBackground in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences

Machine Learning Engineer, Natural Language Generation (NLG)

Requirements

Responsibilities

FAQs

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Apple

Mission & Purpose