drjobs AIML - Staff Machine Learning Engineer, Information Intelligence

AIML - Staff Machine Learning Engineer, Information Intelligence

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Santa Clara - USA

Yearly Salary drjobs

$ 181100 - 318400

Vacancy

1 Vacancy

Job Description

The Search and Knowledge Quality Team at Apple is seeking exceptional Machine Learning Engineers to join our prestigious group of world-class experts specializing in large-scale data management and machine learning systems. You will play a pivotal role in pushing the boundaries of knowledge question answering within Siri and other Apple products impacting how hundreds of millions of users interact with their this role you will design and develop cutting-edge features for platforms involving large-scale data management machine learning and deep learning systems applied to graph data web documents and both semi-structured and unstructured data feeds. This is your chance to shape upcoming Apple products by leveraging your applied machine learning expertise and robust software engineering skills alongside a diverse team of applied scientists and distributed systems engineers. Your contributions will refine user search experiences ensuring they are not only seamless but deeply satisfying in meeting users information-seeking needs.


  • 8 years industry experience
  • Proficiency in one of following languages: Python Go Java C
  • Experience in LLM machine learning deep learning information retrieval natural language processing or data mining
  • Experience with large scale search and machine learning systems
  • Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering


  • MS or Ph.D in Computer Science Artificial Intelligence Machine Learning Information Retrieval Data Science or a related field
  • Excellent knowledge and good practical skills in major machine learning algorithms
  • Excellent data analytical skills
  • Good interpersonal skills
  • Passion for building phenomenal products and curiosity to learn


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 $181100 and $318400 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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.

Required Experience:

Staff IC

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.