Software Development Engineer

17 Minutes ago • 2 Years + • $147,400 PA - $220,900 PA
Software Development & Engineering

Job Description

As a Software Development Engineer, you will contribute to building the world's best map by leveraging large datasets, distributed processing systems, and domain expertise. The role involves improving the Maps Platform by combining data analytics, community engagement, and user feedback. You will be responsible for proposing, implementing, evaluating, and shipping various technologies and data to achieve tasks, working with a team of skilled engineers and scientists to enhance Apple Maps experiences.
Good To Have:
  • PhD degree in Computer Science, Machine Learning, Electrical/Computer Engineering, or related fields, with good publication record
  • Experiences in building large scale machine learning or agentic systems
  • Experience in one or more of the following ML areas: generative AI models, deep learning, computer vision
  • Understanding of NLP fundamentals including embedding generation, text similarity, entity recognition
Must Have:
  • 2+ years of software development experience
  • strong programming skills in Scala, Python or Java
  • 2+ years of experience working with large scale and real world datasets
  • Master’s degree in Computer Science, Machine Learning, Electrical/Computer Engineering, or related fields
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Strong problem-solving, communication, and ability to collaborate with cross-functional teams
Perks:
  • Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
  • Eligible for discretionary restricted stock unit awards
  • Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses — including tuition, for formal education related to advancing your career at Apple
  • Eligible for discretionary bonuses or commission payments
  • Relocation

Add these skills to join the top 1% applicants for this job

cross-functional
problem-solving
communication
data-analytics
game-texts
aws
azure
deep-learning
computer-vision
python
scala
java
machine-learning

Maps do more than just get us from point A to point B. They let us know where we stand in the world, help define our communities, and highlight what is of cultural importance to us. Tasked with building the world’s best map you will use large data sets, distributed processing systems, domain expertise, and top-notch development skills to ensure a complete and accurate map. We are looking for passionate, creative software engineers motivated by challenging problems of scale that impact every Maps user.

Our team combines disparate signals such as data analytics, community engagement, and user feedback to improve the Maps Platform. Combining these signals requires a comprehensive tool chain built around data modeling, processing, visualization, debugging, and editing. On any given day, you will be proposing, implementing, evaluating, and shipping different technologies and resulting data to achieve a given task.

  • 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.
  • 2+ years of software development experience with strong programming skills in Scala, Python or Java.
  • 2+ years of experience working with large scale and real world datasets.
  • Master’s degree in Computer Science, Machine Learning, Electrical/Computer Engineering, or related fields.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Strong problem-solving, communication, and ability to collaborate with cross-functional teams.
  • PhD degree in Computer Science, Machine Learning, Electrical/Computer Engineering, or related fields, with good publication record.
  • Experiences in building large scale machine learning or agentic systems.
  • Experience in one or more of the following ML areas: generative AI models, deep learning, computer vision.
  • Understanding of NLP fundamentals including embedding generation, text similarity, entity recognition.

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