Mastering AI and ML for a Revolutionary Knowledge Graph
7 days ago
The Apple Services Engineering team is renowned for its cutting-edge work in combining art and technology to deliver exceptional entertainment experiences. With a presence in over 175 countries, this team plays a vital role in powering Apple's various services, including Music, App Store, Apple TV, Apple Fitness+, Apple Podcasts, and Apple Books.
SalaryThe estimated salary range for this role is $197,400 - $296,300, depending on skills, qualifications, experience, and location. As an Apple employee, you'll also have the opportunity to become an Apple shareholder through discretionary employee stock programs.
Job DescriptionThis role involves driving the development, implementation, and scaling of machine learning models, AI systems, and data-driven products. As a lead-level AI/ML Engineer, you'll be responsible for guiding the knowledge graph team, working closely with cross-functional teams to innovate and tackle sophisticated challenges using cutting-edge AI technologies.
Required Skills and Qualifications- 10+ years of experience in AI/ML, with at least 2+ years in a technical lead role.
- Proven track record of leading successful AI/ML projects from conception to deployment.
- Expertise in relevant programming languages, such as Python, Java, Scala, or Go.
- Expertise in working with AI/ML frameworks, tools, and programming languages (e.g., TensorFlow, PyTorch).
- Experience with state-of-the-art GenAI techniques and concepts (e.g., LLMs, Multi-Modal, Large Vision Models).
As an Apple employee, you'll enjoy comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses related to advancing your career at Apple. Additionally, this role might be eligible for discretionary bonuses or commission payments, as well as relocation assistance.
OthersApple is an equal opportunity employer 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.
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