As a Research Engineer you will play a critical role to advance Apple Foundation Models to the next level. You will help turn research breakthroughs into tangible values and deliver state-of-the-art model capabilities to support Apple Intelligence. You will drive innovations with data intelligence from variety of sources, combined with applied research in the areas of LLMs, Visual Understanding, Agentic & Reasoning models, and image & video generation to delight Apple's customers

Description:

In this role, you will focus on:

Modeling: design and build models, feature engineering that help achieve desired outcome in multiple modalities across pre-train, mid-train and post-train stages

Evaluation: be able to go deep and perform model & data analysis to hill climb on general as well as specific model capabilities

Optimization: implement scalable data pipelines, optimize models with data intelligence for performance and efficiency, and ensure they are production ready

Data: be obsessed with data quality, work with large amounts of data and build effective data processing steps that are proven to drive results

Learn and collaborate: work closely with software engineers, data scientists and program managers to understand complex user-facing feature challenges. Take part in to share frontier knowledge in the field and maintain high-quality engineering practices

Preferred Qualifications:

In-depth hands-on experience with transformer models and deep reinforcement learning.

Familiarity with pre-training and fine-tuning multi-modal LLMs.

Ability to work collaboratively with cross-functional teams as a good communicator with clear and concise, active listening and empathy skills.

Self-motivated and curious, stay on top of the relevant frontier technologies.

Have demonstrated creative and critical thinking with an innate drive to improve how things work.

Have a high tolerance for ambiguity.

Minimum Qualifications:

Master or Ph Ds Degree in Computer Science, Machine Learning, Data Science or a related field.

Demonstrated proficiency in ML frameworks like Py Torch or Tensorflow.

Proven track record in Deep Learning research or industry.

Strong foundation in Computer Science and software engineering with excellent problem-solving & analytical skills.

Demonstrated critical thinking and ability to drive clarity from ambiguity.

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 .

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.

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