Machine Learning Engineer

The codec deep video processing team develops machine learning algorithms to power Apple technologies with the best user visual experience. In this role, you will work closely with company-wide multiple teams and in multiple projects, from pre-training data curation to post-training data preparation, from data operator development to LLM based data assessment, from model inferencing to model re-training, in a large-scale, to help deliver new features for Apple products and bring high impact to millions of users.

Description

Join us as an ML Engineer and become the architect behind the data pipeline that power tomorrow's breakthrough Apple innovations. You will play the key role in data, the most important part that fuels the ML algorithms from conception to deployment. Working shoulder-to-shoulder with model teams, infra teams and evaluation, you'll drive the scalable data pipeline to deliver large scale of data with high quality in all aspects. Your contributions will directly shape product direction, unlock entirely new model capabilities, and define what's possible at Apple AI era.","responsibilities":"Design and develop data curation pipeline for pre-training and post-training

Work closely with model team and evaluation team to benchmark data quality

Work on data infra to scale up the data processing performance

Preferred Qualifications

Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks

Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques

Experience evaluating generative models (e.g., text generation, image/video generation)

Prior contributions to ML benchmarks or public evaluations

Strong interpersonal skills

Minimum Qualifications

BS with a minimum of 3 years relevant industry experience, or Master degree with certain time of relevant experience

Strong experience in evaluating supervised, unsupervised, and deep learning models

Hands-on experience working on large scale data curation pipeline for LLMs

Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges

Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow

Strong communication skills and documentation skills in English, including the ability to write technical reports and present to non-technical audiences

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 $139,500 and $258,100, 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.