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

Apple Inc.; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

Apple Inc. in Seattle, WA is hiring a Machine Learning Engineer to advance next-generation NLP models and production-ready pipelines.

You will design data synthesis, prompt engineering, and model evaluation frameworks while collaborating across teams to deliver privacy-preserving AI features across Apple platforms. You will build scalable tooling, participate in experimentation, and drive continuous improvements to modeling quality and robustness, shaping how customers interact with intelligent,

Qualifications

• MS or PhD in Computer Science or related field.
• Strong Python programming skills, with experience developing production-quality Python modules.
• Experience building and maintaining model pipelines end-to-end, from data curation to evaluation.
• Solid background in machine learning, data science, natural language processing, or statistics.

Responsibilities

• Development and maintenance of data and model pipelines that scale to deployment in production
• Building toolkits for iterating on model quality via data synthesis and prompt engineering
• Definition of robust automated evaluation mechanisms to facilitate hillclimbing on model quality
• Failure analysis from user feedback to understand shortcomings of our models and evaluation data
• Research into state‑of‑the‑art techniques for improving model quality and robustness
• Implementation of experiments and simulations to assess the value of model changes

Skills

Python

Data pipelines

Experimentation

ML/NLP knowledge

Education

MS or PhD in Computer Science or related field

Tools

CI/CD

MLOps

Job description

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

Seattle, Washington, United States Software and Services

From our origins in iPhone keyboard input, the Input Experience NLP team has expanded to a broad charter: improve the user experience with robust language understanding and personalized text composition, across languages and Apple platforms. We build the ML models that underlie Summarization, Smart Reply, Writing Tools, and other features deeply integrated into Apple products. Generative AI is a transformative technology that we have only just begun to incorporate into our digital lives, to help everyday people digest the deluge of information they receive and express themselves more clearly. On our team, you will help build the future and have a voice in the shape it takes. We are looking for a Machine Learning Engineer to develop the next generation of our ML models, so that they better serve the full range of our customers, across languages, writing styles, and other personal context, in a privacy‑preserving way. You will build, run, and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the focused experimentation and iteration that makes the user experience magical. You will join an ambitious, organized, and collaborative team. We’re 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.

Description

As a Machine Learning Engineer on our team, you will enable next‑generation AI applications by building toolkits and workflows that scale to increasingly sophisticated modeling tasks. You will design the abstractions and implement the algorithms that facilitate efficient data synthesis, data curation, prompt engineering, and model evaluation. You will contribute to a company‑wide effort to build robust modeling pipelines that optimize our ability to iterate rapidly and continuously deliver improvements to our customers. Finally, you will help define and refine new features that expand both the depth of Apple Intelligence’s capabilities and the breadth of its support for the full spectrum of Apple customers.

Responsibilities

• Development and maintenance of data and model pipelines that scale to deployment in production
• Building toolkits for iterating on model quality via data synthesis and prompt engineering
• Definition of robust automated evaluation mechanisms to facilitate hillclimbing on model quality
• Failure analysis from user feedback to understand shortcomings of our models and evaluation data
• Research into state‑of‑the‑art techniques for improving model quality and robustness
• Implementation of experiments and simulations to assess the value of model changes

Minimum Qualifications

• MS or PhD in Computer Science or related field
• Strong Python programming skills, with experience developing production‑quality Python modules
• Experience building and maintaining model pipelines end‑to‑end, from data curation to evaluation
• Solid background in machine learning, data science, natural language processing, or statistics

Preferred Qualifications

• Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
• Expertise in MLOps and a passion for software quality, based on CI/CD principles
• Excellent written and verbal communication skills
• Background in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences
• History of developing Python packages and supporting users and other teams

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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