AIML - Full Stack ML Engineer, LLM Optimization

AIML - Full Stack ML Engineer, LLM Optimization

Cupertino,California,United States

Machine Learning and AI

As a Machine Learning Engineer in the LLM Optimization team at Apple, you will have the opportunity to be part of an innovative ML organization that enables LLM for Apple products. The LLM Optimization team focuses on designing and implementing ML-based solutions to improve runtime latency, training time, memory usage, time to first token, and decoding speed across all Apple applications. The team is strategically positioned for significant contributions both in the short term (on well-known Apple products) and in the long term (on highly ambitious, high-risk, high-reward projects). This role emphasizes shipping ML-based features and products. As a Full Stack ML Engineer, you will innovate across the entire end-to-end ML production pipeline. Your responsibilities will include but are not limited to: * Designing new neural network architectures * Developing efficient model training and fine-tuning methods * Enhancing on-device and server side inference Our ideal team member is fearless in trying new things and willing to iterate on ideas. We value team members who can quickly prototype and iterate towards high-quality implementations.

Description

As a Full Stack ML Engineer on our team, you will leverage your background to: * Design and implement ML-based solutions to improve runtime latency, training time, memory usage, time to first token, and decoding speed for Apple applications * Innovate across the entire end-to-end ML production pipeline, including dataset creation, neural network architecture design, model training, fine-tuning methods, training time optimization, on-device and server side inference * Quickly prototype and iterate to achieve high-quality implementations for pioneering machine learning algorithms * Collaborate with hardware and software teams to integrate research findings into market-ready solutions * Translate theoretical ideas into tangible innovations, demonstrating their industrial applicability

Minimum Qualifications

Key Qualifications

Preferred Qualifications

• Strong ML background

• Proficiency in Programming Languages and Frameworks: Python, C++, PyTorch/TensorFlow/Jax

• Experience with Natural Language Processing(NLP), ML optimization - with a focus on LLMs

• Outstanding communication and technical writing skills, capable of conveying complex concepts clearly and efficiently

• Preferred: notable achievements validated by quality publications in ML optimization, with a focus on LLMs

Education & Experience

Additional Requirements

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 $170,700 and $300,200, 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.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 take affirmative action to ensure 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. (~~~)

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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

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Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .