Apple
Machine Learning Research Engineer, Natural Language Generation (NLG), Input Exp
Apple, Seattle, Washington, us, 98127
Machine Learning Research Engineer, Natural Language Generation (NLG), Input Experience
Seattle, Washington, United States
Software and Services
On the Input Experience NLP team, we build the language models that underpin intelligent text input across Apple platforms, from keyboard auto correction to the Writing Tools and Smart Reply features announced at WWDC 2024. We believe that generative AI is an incredibly promising technology that can help people communicate effectively and express themselves clearly. On our team, you will help build the future and have a voice in what shape it takes. 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. 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 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
Key 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
Apple is an equal opportunity employer that is committed to inclusion and diversity.
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.
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Seattle, Washington, United States
Software and Services
On the Input Experience NLP team, we build the language models that underpin intelligent text input across Apple platforms, from keyboard auto correction to the Writing Tools and Smart Reply features announced at WWDC 2024. We believe that generative AI is an incredibly promising technology that can help people communicate effectively and express themselves clearly. On our team, you will help build the future and have a voice in what shape it takes. 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. 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 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
Key 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
Apple is an equal opportunity employer that is committed to inclusion and diversity.
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.
#J-18808-Ljbffr