AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure

Key Skills

Aartificial intelligence, Analytical and Problem solving, Iceberg, Java Programming, Linux Operating system, Machine learning techniques, Natural Language Processing (NLP), Python Programming, SPARK Programming, Teamwork, Unix Operating system

Job Description

The Apple Knowledge Platform team is building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

Key Qualifications

• Excellent programming skills in Python and Java
• Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark, Iceberg)
• Broad knowledge of computer science and systems; ability to quickly learn new skills
• Experience of developing, evaluating ML models and deploying models into production
• Proven system development skills in UNIX-type OS (e.g. Linux, Mac OS)
• Excellent problem-solving and analytic skills
• Good interpersonal skills and teamwork
• Real passion for building phenomenal products
• Curiosity to learn

Apple is hiring an ML engineer for Knowledge team . You'll be working at the frontier of AI, crunching massive amounts of data for Apple's knowledge base. In a dynamic, continuously-integrated environment, you'll design and implement robust, scalable data/ML pipelines capable of processing an ever-growing data set while keeping latency low and quality high. You'll work closely with diverse data sources to integrate new knowledge, and with engineers from across Apple to deliver knowledge for customer-facing services. Your responsibilities will also include developing tools and tests to ensure quality and help diagnose issues.

Education & Experience

BS, MS or PhD in Computer Science, Data Science or related field

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 $131,500 and $243,300, 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.