AIML - Staff Machine Learning Engineer, Information Intelligence

Apple; Santa Clara (CA); On-site; USD 175,000 - 313,000; Full time

Job summary

An established industry player is seeking a Senior Machine Learning Engineer to innovate search applications. This role involves developing cutting-edge language models and enhancing Siri's capabilities while prioritizing user privacy. You'll collaborate with diverse teams to shape the future of information access across iconic products. With a focus on research, design, and implementation, this position offers a unique opportunity to impact millions of users. Join a forward-thinking team dedicated to pushing the boundaries of technology and delivering exceptional user experiences.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Discounted products and free services

Qualifications

• 8+ years of experience in Machine Learning and NLP at scale.
• Strong software engineering skills in Python, Go, and C/C++.

Responsibilities

• Develop LLMs and NLP models for user productivity.
• Collaborate with teams to define product requirements.

Skills

Machine Learning

Natural Language Processing (NLP)

Python

Go

C/C++

pyTorch

JAX

TensorFlow

XGBoost

Communication Skills

Education

Bachelor's in Computer Science

Master's or Ph.D. in Computer Science or Statistics

Tools

ML Frameworks

Job description

AIML - Staff Machine Learning Engineer, Information Intelligence

**Santa Clara, California, United States**

**Machine Learning and AI**

**Summary**

Posted: **Apr 30, 2025**

Role Number: **200602308**

The Siri and Information Intelligence 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.

**Description**

In this role you will have the opportunity to develop LLMs and other NLP models for user productivity and improving Siri's ability to answer personal domain questions. Our team owns models which are responsible for answering users' questions using their personal documents with privacy at the forefront, and that integrates with other Siri capabilities to enable powerful user experiences. Role responsibilities include:

- Contribute to research, design, implementation, and evaluation of models to enhance quality and performance, and to support key functions for Personal Q&A.
- Implement and extend LLM models with fine-tuning and RLXF methodologies. Develop high quality data pipelines to support these methodologies.
- Establish target quality metrics and evaluation sets for the team to track and improve. Design novel experiments to validate/refute hypotheses and support team wide decision making.
- Collaborate with partner teams to define product requirements and priorities, and to explore opportunities for enhancements to the Personal Q&A stack.
- Develop long-term technical vision for Personal Q&A quality; identify problem areas and integrate solutions as part of a larger roadmap.

**Minimum Qualifications**

+ 8+ years industry experience in Machine Learning, NLP and applying these techniques at scale

+ Strong software engineering skills in mainstream programming languages, such as: Python, Go, C/C++ Experience using ML frameworks (pyTorch, JAX, TensorFlow, XGBoost etc.)

+ Strong communication skills

+ Bachelors in Computer Science

**Preferred Qualifications**

+ In-depth knowledge and expertise in training, evaluating, and applying Deep learning models, Large Language Models for production systems

+ Extensive experience in building production ML systems and applications in search, recommendation systems, or information retrieval

+ Ability to quickly prototype ideas / solutions, and perform critical analysis

+ Background in: search relevance and ranking, Q&A, personalization, user behavior/response modeling, or data-driven decision-making

+ Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, or related field, or equivalent industry work experience

**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 $175,800 and $312,200, 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.