AIML - Sr. ML Engineer, NL Response Generation - Answers, Knowledge, & Information (AKI)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

123% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AIML - Sr. ML Engineer, NL Response Generation - Answers, Knowledge, & Information (AKI) Santa Clara, United States of America The Answers, Knowledge & Information team is revolutionizing the way hundreds of millions of people access information on their devices, all while keeping user privacy at the forefront. As an Applied ML team, we're pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service. Our work fuels intuitive information experiences across some of Apple's most iconic products, including Siri, Spotlight, Safari, Messages, Lookup, and more. Join us in shaping the future of how the world connects with information! We are looking for a senior Machine Learning Engineer with a passion for using machine learning to build intelligent search applications. Our team researches and implements novel query understanding, ranking and response generation techniques, machine learning algorithms and models that power amazing Search experiences across Apple products. This role will have the chance to work closely on Natural Language response generation models, make improvements and perform scalable evaluation that will impact Apple Users and broader AIML community. Role responsibilities include: - Contribute on research, design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized response generation models. - Use advanced NLP, deep learning and LLM techniques to generate grounded responses for user intent. - Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps

Read the full description at jobs.apple.com. FewerJobs shows a source-linked preview and links to the original posting.