AIML- Machine Learning Engineer, Machine Learning Platform & Infrastructure

Seattle,Washington,United States

Machine Learning and AI

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to make Spotlight search, Siri and Apple products smarter for our users? The Information Intelligence teams are 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. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data and have an opportunity to imagine and build products that delight our customers every single day.

Key Qualifications

• Strong problem solving skills and able to write production quality clean code.

• 4+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models.

• Familiarity with deploying model for large scale inferencing & optimizations.

• Experience with NLP

• Familiarity with any deep learning libraries - PyTorch/Keras/Tensorflow.

• Demonstrated experience in improving content understanding & data quality at scale.

• Familiarity with high throughput, low latency applications & large scale data processing pipelines, data wrangling techniques.

• Quick learner who can work independently as well as in a team.

Description

We design and build features that empowers Apple users. Our team processes billions of urls to find the best content to surface to users through search. We build critical features on content intelligence that improves indexing, web ranking & many AIML initiatives at Apple. We apply statistical analysis to improve content intelligence quality among many diverse set of problems. You will have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity. We are responsible for the end to end ownership of our pipelines and services, from conception, to design, to implementation, to deployment, to operations. As a result, each one of us takes our responsibilities seriously, while having a lot of fun building the best features to improve data quality at scale. Candidate who joins our team will be responsible for the following * Drive the feature from inception to production launch that will help improve Siri, Search & AIML initiatives in Apple products * Work with cross functional teams & stakeholders to solve ambiguous problems * Build software that improves experimentation and helps team make better decisions about what to try next - train, deploy, evaluate, and debug models for complex tasks * Drive the organizational goals & OKRs * Deliver artifacts, code with high quality

Education & Experience

Our applications are complex and strong programming skills and computer science fundamentals are essential. Whether you have a traditional CS degree or self-taught or learned some other way, we’d love to talk with you.

Additional Requirements

• Nice to have:

• • Experience with any of information extraction, large language models, web search
• • Understanding of distributed systems, technologies like containerization, kubernetes and cloud platform (AWS, GCP, Azure)
• • Experience with OCR & image text alignment is a plus.
• • Experience with GPU inferencing, model compression, model quantization is a plus

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 $131,500.00 and $243,300.00, 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 (https://www.apple.com/careers/us/benefits.html) 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.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.

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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 (Opens in a new window) .

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Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .