Backend Engineer - ML Tools

Overview

USD 135,400.00 - 250,600.00 per year
Full Time

Skills

Video Engineering
Computer Vision
Cloud Computing
Build Tools
Computer Hardware
User Experience
Deep Learning
Attention To Detail
Data Processing
Algorithms
SDK
API
UI
Software Development
Python
TypeScript
Kotlin
Git
SQL
NoSQL
Database
Computer Science
Machine Learning (ML)
Batch Processing
Workflow
Orchestration
Frontend Development
React.js
Payments

Job Details

The Video Engineering Data Infrastructure team is working on technologies for future Apple products. We're looking for the right Backend Engineer to join our team and help develop our next generation systems. In this role, you'll work with a highly dynamic team that designs and implements data processing systems for computer vision and deep learning products like FaceID. You will be working with machine learning engineers to develop tools, automation and data pipelines to process massive amounts of data.

Description We are looking for an enthusiastic software engineer with experience in cloud technologies who can build tools to process data for machine learning algorithm teams. As an engineer on our team, your work provides the foundation for a highly collaborative team of hardware, user experience, and deep learning experts. We are looking for engineers that have a high attention to detail, and who can abstract these details into framework level software solutions. In your role as a software engineer you will: Work directly with machine learning engineers to integrate their workflows into reusable data processing solutions Build and maintain processing pipelines, analyze and monitor system performance. Design our future infrastructure systems to meet the growing needs of machine learning algorithms at Apple scale. Contribute across the full stack including the client SDK, API, processing platform, and UI.

Minimum Qualifications
  • BS and a minimum of 3 years relevant industry experience
  • Software development experience in Python and at least one modern statically typed programming language such as TypeScript or Kotlin
  • Comfortable with Git, REST APIs, SQL and NoSQL databases.

Preferred Qualifications
  • MS in Computer Science or equivalent experience
  • Experience building and maintaining automated data pipelines
  • Familiarity working with machine learning data workflows, especially for batch processing
  • Proficiency with workflow orchestration tools like Temporal, Airflow, or Dagster
  • Demonstrated foresightedness and self-direction while collaborating effectively with the team
  • Ability to translate feature asks into maintainable, scalable code
  • Experience with front-end development in frameworks like React

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 $135,400 and $250,600, 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.

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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.