Job Details

Software Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: Sep 03, 2025

Weekly Hours: 40

Role Number: 200618742-0836

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Our team is seeking a Software Engineer with a strong, critical quality-focused mindset and Python backend expertise to drive our work with Large Language Models (LLMs) and Generative AI. In this role, you'll apply rigorous quality principles while designing and implementing core backend services and pipelines that seamlessly integrate with enterprise systems and LLM technology.
You'll support our mission by bringing a meticulous approach to applying groundbreaking research in this rapidly evolving space. Your quality-first engineering perspective will ensure we build robust, reliable systems that meet the highest standards. By contributing your critical thinking and attention to detail, you'll significantly influence our developer productivity tools and shape the evolution of our AI platforms.
The ideal candidate combines technical excellence with a relentless focus on quality assurance, testing methodologies, and systematic validation—ensuring our innovative solutions are not just powerful, but exceptionally dependable.

Description

Our team builds frameworks, services, and tools that accelerate Feature development for engineering teams.
In this role, you'll apply your quality engineering expertise to enable workflows with particular focus on ensuring the reliability and accuracy of LLM-based generation. Your meticulous approach to quality will be essential as you integrate our platform with various enterprise services and establish validation frameworks that maintain Apple's exacting standards.
You'll be part of a team whose focus is on bringing a quality-first perspective to deliver an end-to-end solution. Your rigorous testing methodologies and quality-focused mindset will help ensure we build not just innovative tools, but dependable systems that our engineering teams can trust day after day

Responsibilities

• This is a hands-on role for developing and supporting new and existing features. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development.

Minimum Qualifications

• Bachelor’s Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.

• Proven experience in building complex agentic systems using LLMs. Strong Python programming skills, with a background in developing scalable and robust services using FastAPI or similar frameworks.

• Experience in Machine Learning with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation(RAG) and Generative AI.

• 5+ years of industry experience focussed on ML or software engineering.

Preferred Qualifications

• Master’s Degree Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.

• Experience in designing and implementing information retrieval systems using embeddings (e.g., MiniLM), vector stores (e.g., Milvus, Qdrant), or similarity match & ranking techniques.

• Designed and optimized RESTful services.

• Comfort within Linux/Unix environments.

• Understanding of software engineering practices (agile, code review, automated builds, regressions testing).

• Some experience in technical leadership/mentorship in ML or software engineering experience a plus.

• Familiarity with large language model frameworks for evaluating and fine-tuning models.

• Communicating effectively, both written and verbal, with technical and non-technical cross-functional teams.

• Proven track record of building enterprise-grade ML pipelines (data prep, distributed training, optimization, monitoring) in cloud environments.

• Collaborative mindset to brainstorm on architectural patterns to arrive at the best approach. Keen interest in keeping up with the latest in the industry.

• Experience working on platform engineering or a developer experience platform is a plus.

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.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.