Machine Learning Research Engineer, Generative AI

Apple Inc.
Cupertino, CA, United States
6 days ago
Apply on www.juju.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

C (Programming Language) Apple IOS Apple Mac Systems Optical Character Recognition (OCR) Computer Vision Unix C++ (Programming Language) Computer Programming Computer Engineering Software Debugging Information Extraction Machine Learning
+13 more
Natural Language Processing Tensorflow Software Engineering Toolchain Speech Recognition Pytorch Large Language Models Deep Learning Generative AI Information Technology Machine Learning Operations Objective C++ Programming Languages

Job description

As a member of the team you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems.

Requirements

  • PhD or MSc in Computer Science, Computer Engineering or a closely related field.
  • Industry experience in building product features based on ML including generative models or multimodal LLMs.
  • Experience with image processing, computer vision, speech recognition, or natural language processing.
  • Proven track record of programming, debugging, and design skill., * Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift.
  • Experience with common ML toolchain such as PyTorch, TensorFlow, or JAX.
  • Proficiency with Unix, iOS, or macOS development.
  • Excellent problem solving, critical thinking, and interpersonal skills.
  • Ability to produce creative and innovative solutions to challenging problems.
  • Enthusiastic about building end-to-end experiences using machine learning.
  • High-quality communication skills and ability to work through ambiguity.

Benefits & conditions

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 $147,400 and $272,100, 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.

  • Comprehensive medical and dental coverage
  • retirement benefits
  • a range of discounted products and free services
  • reimbursement for certain educational expenses - including tuition
  • 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.

About the company

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com
Prepare application

Good distractions

Loading talks and stories from around this role…