Machine Learning/Search Ranking Engineer - Apple Maps

Lensa; Cupertino (CA); On-site; USD 175,000 - 313,000; Full time

Job summary

A leading company in technology is seeking a Machine Learning/Search Ranking Engineer to enhance Apple Maps through innovative ML algorithms and user-centric design. This role focuses on developing advanced search functionalities and mentoring others. Candidates should possess extensive experience in computer science and strong programming skills.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and services

Reimbursement for educational expenses

Employee stock purchase plan

Qualifications

• 7+ years of industry experience in Machine Learning.
• Proven record in delivering ML driven products.
• Excellent interpersonal and communication skills.

Responsibilities

• Develop and optimize novel ML algorithms for local search.
• Collaborate with teams to improve search experiences.
• Mentor aspiring applied scientists and engineers.

Skills

Machine Learning

Programming in Java

Programming in Python

Programming in C++

Attention to detail

Education

MS in Computer Science or equivalent

Ph.D. in Computer Science or equivalent (Preferred)

Tools

TensorFlow

PyTorch

JAX

Hadoop

Spark

Hive

Job description

Machine Learning/Search Ranking Engineer - Apple Maps

Machine Learning/Search Ranking Engineer - Apple Maps

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Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Cupertino, CA. Apply via Lensa today!

Machine Learning/Search Ranking Engineer - Apple Maps

Cupertino, California, United States

Software and Services

Summary

Posted: Jan 28, 2025

Weekly Hours: 40

Role Number: 200588556

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 help 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 ML and GenAI at scale to improve the search quality for Apple Maps.

Description

The goal of Maps Search team is to take Apple’s Maps to the next level of intelligence and accuracy using machine learning and artificial intelligence techniques. Engineers and scientists on our team work on a wide spectrum of approaches to improve search experiences on Apple Maps.

In this role, some of the projects you will contribute to include but are not limited to:

• Develop and optimize novel ML algorithms to handle key issues in local search: ranking, intent modeling and semantic search
• Design and develop tools, processes and analytics for backend data-extraction pipelines - along with performing hands-on analyses to answer hard hypotheses/questions.
• Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting features and contribute towards our mission of best search experience to our end-users.
• Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
  
  

This position involves a wide variety of skills and innovation, it is a unique opportunity that sits at the intersection of science and engineering. Ultimately, your work would have a huge impact on millions of users across the globe.

Minimum Qualifications

• MS in Computer Science or equivalent field with 7+ years of industry experience
• Proven record in delivering end-user facing ML driven products
• Strong programming experience in one or more of the following: Java, Python, and/or C++ Knowledge and experience with at least one of the following: 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 7+ 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 applying big data processing such as with Hadoop, Spark, Hive to create insights from production data.
• Knowledge and prior experience with some deep learning and GenAI frameworks are desired.
• Prior experience in consumer facing product is desired.
• Prior team lead experience is desired.
  
  

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 $175,800 and $312,200, 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.Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

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 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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