We use cookies to enhance your experience. By using our site, you agree to our use of cookies.

Apple Logo

Apple

Machine Learning Engineer, Ai & Data Platform

Apply Now
🌎

Sunnyvale, California, United States

1d ago
👀 2 views
📥 0 clicked apply

Job Description

Description

Description
Our Machine Learning Engineers work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.

Minimum Qualifications

Minimum Qualifications
  • Strong proficiency in programming languages like Java or Python
  • Solid understanding of Data Structures and Algorithms.
  • 4+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring, and model refresh management.
  • 2+ years experience working with NLP and GenAI frameworks (LangChain, LlamaIndex, etc.)
  • Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications
  • Experience handling large-scale datasets and data-driven applications.
  • Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
  • Excellent communication and experience working with multi-functional teams

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements

Pay & Benefits

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.

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

More

  • 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.

Apply Now

More Jobs at Apple

Locations
Jobs by Title
Jobs by Type