Apple Online Jobs @ Get Dream Job

Apple

Springfield (IL)

On-site

USD 28,000 - 41,000

Full time

14 days+
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Job summary

Apple is seeking an AR/VR Machine Learning Engineer in the USA to design, implement and optimize ML methods for AR/VR applications. You will develop scalable models using Python and C++, applying PyTorch or TensorFlow, and push efficient inference on constrained hardware.

The role requires collaboration with cross-functional teams, rigorous benchmarking, and delivering high-quality ML solutions that advance Apple’s AR/VR roadmap.

Qualifications

  • Bachelor's degree required or equivalent in a related field.
  • Strong programming experience in Python and C++ for ML.
  • Hands-on experience with deep learning tools (PyTorch, TensorFlow).

Responsibilities

  • Develop and optimize ML algorithms for AR/VR platforms.
  • Design, implement and benchmark ML solutions for production use.
  • Collaborate with cross-functional teams and product groups.

Skills

Python
C++
Machine Learning
Deep Learning
Problem solving
Communication
Team collaboration

Education

Bachelor's Degree

Tools

PyTorch
TensorFlow

Job description

Job Responsibilities

AR/VR Machine Learning Engineer

Salary

$20-30/Hour

Company

Apple

Location

USA

Educational Requirements

Bachelor's Degree

Full Job Description

Apple's technology development team is actively looking for a highly motivated Machine Learning Engineer to help develop future Apple technologies in the Augmented Reality (AR) and Virtual Reality (VR) spaces. The successful candidate will demonstrate deep knowledge and hands-on experience in designing, implementing, and optimizing machine learning to solve complex problems. The candidate should be proficient in machine learning and deep learning and be comfortable applying their ML knowledge and problem solving skills to develop advanced ML methods that contribute to the AR Roadmap / VR transformation from Apple. Our team creates technology that sets industry standards, and we look for people who excel in design and strive to create the best products with high impact. We have a passion for quality and a deep commitment to quality, and if you want to impact millions of customers by working with the most advanced technology solutions, we want to talk to you.

Responsibilities
  • Strong programming skills in Python and/or C++ with 5+ years of demonstrated ability to use these languages for machine learning (ML) and research analysis.
  • Hands-on experience builds deep learning tools
  • Expertise in using ML tools like PyTorch, TensorFlow, etc.
  • Experience developing and optimizing algorithms that perform well on resource-constrained platforms
  • The ability to perform preliminary and risk assessment work in the absence of
  • Passion for delivering high quality products, seeking to solve everyday problems in new ways
  • Excellent programming, problem solving and analytical skills
  • Communication and collaboration in a multifunctional environment
  • Ability to work in the field with a multi-tasking team
  • Ability to work long hours and deliver under pressure
  • Ability to thrive in an environment that communicates clearly and confidently with team members
Explanation

As an ML engineer in Apple's Technology Development Group, you will collaborate with algorithm developers to design ML-based solutions to solve high-impact problems in Apple products. Key tasks related to this role include designing, implementing and optimizing algorithms, integrating benchmark analysis into the production process, and working with product teams before and after planning.

Key Tasks
  • You will work cross-functionally with multiple teams at Apple, decide needs and deliver the final solution
  • You will help evaluate contributors' various methods to improve the ML pipeline for training and deployment - these may include (but not limited to) algorithm design, hyperparameter tuning, HW/SW coding.
  • You will write clean, organized text, output code and appropriate documents and tests.
  • You have to delete attributes related to the ML pipeline.
  • You will contribute to architecture decisions, design reviews and code generation reviews.
  • You will be a facilitator, allowing team members to be productive
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