Machine Learning/AI Engineer – Apple Maps

Summary

Posted: Feb 19, 2025

Weekly Hours: 40

Role Number:200587785

Are you a self-starter looking for an exciting career opportunity? Do you like to ship Data Science and Machine Learning solutions that impact millions of users around the world? A job at Apple is unlike any other you’ve had. You’ll be challenged, inspired, and you will be proud of your work. Maps are a significant part of our everyday lives. Whether you are looking for the nearest gas station, finding a transit route that gets you to the big game before kickoff, or selecting a peculiar restaurant for dinner with friends, you are relying on information from the Maps Data Engineering Team. Our Maps team is charged with aggregating, processing, filtering and conflating data from many sources and multiple modalities and presenting a unified, rich, and up to date set of Points of Interest (POIs) to hundreds of millions of Apple Maps users across the world! At Apple, our team provides the foundation for building extraordinary customer experiences, with features that have become an indispensable part of so many lives around the world.

Description

We are looking for a Machine Learning Scientist/Engineer who can take projects from initial data mining and research through all stages of prototyping, development, and final integration of AI / ML data solutions into the production code that goes out to the users.

Minimum Qualifications

• As a member of our team, you’ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple Maps. This position requires a self-motivated engineer/scientist with strong technical and interpersonal skills to handle responsibilities including:
• We are looking for a Machine Learning Scientist / Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies and resulting data to achieve a given task. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system!

Preferred Qualifications

• 5+ years of experience in building large scale machine learning systems
• 2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc), NLP and text data, Computer Vision
• Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics
• Experience working with large scale and real world datasets
• Deep learning, computer vision, topic modeling, graph algorithms are pluses
• Metrics focused and passionate about delivering models that render high quality results
• Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++
• Knowledge of Spark, Apache Hadoop, Solr/Lucene, Cassandra, and related big data technologies

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. Learn more 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.