Machine Learning Engineer (Search)

Apple Inc.; Cupertino (CA); On-site; USD 147,400 - 220,900; Full time

Benefits offered by this job

Comprehensive medical coverage

Dental coverage

Retirement benefits

Discounted products

Tuition reimbursement

Discretionary bonuses

Job summary

Apple Inc. is looking for a Machine Learning Engineer in Cupertino, California. This role involves advancing Maps technology using Machine Learning and Generative AI to improve search quality.

The ideal candidate will have an MS in computer science or equivalent, strong programming skills, and experience in developing machine learning products. Apple offers a comprehensive benefits package and opportunities for stock participation.

Qualifications

• 2+ years of industry experience in machine learning products.
• Strong programming skills in Java, C++, or Python.
• Attention to detail and data accuracy.

Responsibilities

• Build cutting-edge technologies using Machine Learning.
• Improve search quality for Apple Maps.
• Collaborate within a team focusing on innovative solutions.

Skills

Machine Learning

Java

C++

Python

Tensorflow

Pytorch

Jax

Natural Language Processing

Education

MS in computer science or equivalent field

Ph.D in computer science or equivalent field

Tools

Hadoop

Spark

Hive

Job description

Location: Cupertino, California, United States.

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at scale to improve the search quality for Apple Maps.

Minimum Qualifications

• MS in computer science or equivalent field with 2+ years of industry experience
• Proven record in delivering end-user facing Machine Learning driven products
• Strong programming experience in one or more of the following: Java, C++, Python
• Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks.
• Excellent interpersonal and communication skills - working independently and/or in small teams
• Attention to detail, data accuracy and quality of output.

Preferred Qualifications

• Ph.D in computer science or equivalent field with 2+ years of industry experience.
• Expertise and experience in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling and ranking
• Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.
• Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired.

Base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $147,400 and $220,900, 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 on 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.

Equal Opportunity & Diversity

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.

Accessibility

Apple believes accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.