AIML - Machine Learning Engineer/Scientist, Information Intelligence

Key Skills

Algorithms, C++, Deep Learning, Java Programming, Large scale data processing, logo, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch

Job Description

Do you want to make Siri and Apple products smarter for our users? The Web Answers team is redefining how hundreds of millions of people use their devices to get their questions answered. We are an R&D team pushing the limits of question answering technologies, responsible for a production service powering part of Siri. We are part of a wider effort to power search and answers across a variety of Apple products – including Siri, Spotlight, Safari, Messages, and more.

As part of our team, you will be leveraging and improving upon the latest deep learning models in order to understand queries, rank documents, and find useful answers to users’ questions. Our team is responsible for deploying these models at scale, using the latest advances in model compression and inference-optimized hardware.

Key Qualifications

• Experience in natural language processing, machine learning or deep learning
• Mastery of one of following languages: Python Go Java C++, demonstrating strong background in algorithms and data structures
• Excellent interpersonal skills ability to work independently as well as in a team
• Excellent knowledge and good practical skills in major machine learning algorithms

Description

As a member of our fast-paced group you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. As such we are looking for candidates with applied machine learning experience and some engineering skills. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements issues and opportunities
• Utilizing PyTorch for training deep learning models
• Understanding product requirements then translating them into modeling tasks and engineering tasks
• Building machine-learned models for search relevance ranking query understanding and questioning
• Publishing and present in several top NLP conferences like EMNLP and NAACL

Education & Experience

• MS or Ph.D in Computer Science, Machine Learning or related field

Additional Requirements

• Experience with large scale search and machine learning systems is highly desired
• Excellent data analytical skills

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 $144,500 and $250,000, 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.