Apple
Natural Language Generation Engineer, Wallet & Payments
Apple, New York, New York, United States, 10001
Natural Language Generation Engineer, Wallet & Payments
New York City, New York, United States Software and Services Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. You bring passion and dedication to your job and there's no telling what you could accomplish. We provide the machine learning infrastructure, data products, and algorithms supporting some of Apple's newest and fastest growing services. Going beyond accuracy we are driven to develop fair, explainable algorithms that preserve user privacy. Machine Learning solutions at Apple require rigorous data engineering; we always launch at scale. Key Responsibilities
Development and maintenance of modeling pipelines that are deployed to production and reach global scale Definition of robust automated evaluation metrics to enable continuous model improvements Failure analysis to understand shortcomings and model sensitivities Curation and synthesis of representative training and evaluation data Implementation of experiments and simulations to assess proposed 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 implement experiments that bring NLP research ideas into production Familiarity with LLMs, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG Excellent written and verbal communication skills 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 $147,400 and $272,100, 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. 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.
New York City, New York, United States Software and Services Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. You bring passion and dedication to your job and there's no telling what you could accomplish. We provide the machine learning infrastructure, data products, and algorithms supporting some of Apple's newest and fastest growing services. Going beyond accuracy we are driven to develop fair, explainable algorithms that preserve user privacy. Machine Learning solutions at Apple require rigorous data engineering; we always launch at scale. Key Responsibilities
Development and maintenance of modeling pipelines that are deployed to production and reach global scale Definition of robust automated evaluation metrics to enable continuous model improvements Failure analysis to understand shortcomings and model sensitivities Curation and synthesis of representative training and evaluation data Implementation of experiments and simulations to assess proposed 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 implement experiments that bring NLP research ideas into production Familiarity with LLMs, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG Excellent written and verbal communication skills 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 $147,400 and $272,100, 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. 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.