Job Details

Natural Language Generation Engineer, Wallet & Payments

New York City, New York, United States

Software and Services

Summary

Posted: Apr 30, 2025

Role Number: 200602502

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.

Description

As a Machine Learning Engineer on our team, you will build and iteratively refine model pipelines that enable rich text experiences on Wallet products. You will conduct experiments and create prototypes for new approaches to improve the quality of our generative language models, translating customer needs into analytical solution. You will work hand in hand with software engineers, data scientists, and product partners. Finally, you will implement the building blocks and infrastructure that bring these innovations into our production pipelines, and contribute evaluate metrics for measuring forward progress.

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 $143,100 and $264,200, 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. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.