AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure

Apple; Cupertino (CA); On-site; USD 143,000 - 265,000; Full time

Job summary

An established industry player is seeking a passionate Machine Learning Engineer to join their innovative team in Cupertino. In this role, you will work on groundbreaking technologies that enhance user experiences across a multitude of devices. You will be responsible for designing algorithms that improve search functionalities, working with large-scale data processing, and applying machine learning techniques to derive insights from complex datasets. This position offers a unique opportunity to contribute to the development of systems that impact millions of users daily, all within a collaborative and dynamic environment. If you're ready to make a significant impact, this is the role for you!

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Discounted products and free services

Discretionary bonuses

Qualifications

• MS or PhD in Computer Science or equivalent experience required.
• Strong coding skills and experience with data structures and algorithms are essential.

Responsibilities

• Design and build infrastructures to support features for billions of users.
• Devise algorithms to recommend relevant URLs and classify content quality.

Skills

Machine Learning Algorithms

Data Structures

Statistical Analysis

Interpersonal Skills

Coding Skills

Education

MS in Computer Science

PhD in Computer Science

Tools

AWS Services

Kubernetes

Data Pipelines

Job description

AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure

Cupertino, California, United States Machine Learning and AI

Summary

Posted: Oct 16, 2024

Role Number: 200573822

Imagine what you could do here. 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 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, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

Description

We design and build infrastructures to support features that empower billions of Apple users. Our team processes trillions of web links to select and crawl the most relevant content to surface to users through search. As part of the team, you’d be responsible for devising the algorithms to recommend the most relevant URLs for different search products, classifying the quality of the content, and continuously deriving the signals from the content to enhance the system further. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. We take full end-to-end ownership of our services, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you’ll have the opportunity to work on incredibly complex large-scale systems with trillions of records and petabytes of data.

Minimum Qualifications

1. MS or PhD in Computer Science or equivalent experience
2. Strong coding skills and experience with data structures and algorithms
3. Excellent interpersonal skills able to work independently as well as cross-functionally
4. Experience with machine learning algorithms and tools
5. Experience with petabyte scale data processing & building data pipelines
6. Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes

Preferred Qualifications

1. Experience in statistics and data analysis.
2. Experience with Machine Learning/Information Retrieval/Large Scale Data-Mining are a plus
3. Experience in Web Crawling 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 $143,100 and $264,200, 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.

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.