AIML - Machine Learning Researcher, MIND

Summary

Posted: Jan 22, 2025

Weekly Hours: 40

Role Number:200585851

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. We are looking for outstanding researchers to work on ambitious artificial intelligence projects that will advance the field and shape intelligence in future Apple products. As a team, we are working to define and solve the hardest problems in machine learning, NLP, and computer vision. Our roots are in research, which means at our core, we value learning, intellectual curiosity, and exploration.

Description

As a Machine Learning Researcher in this team, you will: * Work on some of the most ambitious technical problems on data and compute efficient machine learning. * Research novel AI solutions that will impact future Apple products. * Collaborate with world-class machine learning researchers and engineers to bring research ideas to production. * Publish and present your work in world-class scientific venues in machine learning field. * Provide technical mentorship and guidance.

Minimum Qualifications

• PhD in Computer Science, or related technical field.
• In-depth expertise in machine learning research.
• Domain expertise in one or more of NLP, computer vision, or optimization.
• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
• Expertise in working with at least one deep learning framework such as; PyTorch, JAX, or Tensorflow.
• Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field

Preferred Qualifications

• Strong mathematical skills in linear algebra and probability.
• Proficient in Python and C/C++. CUDA or other GPGPU is a plus.
• Ability to formulate a research problem, design, experiment, implement and communicate solutions.
• Strong interpersonal skills and ability to collaborate in a diverse environment.

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.

More

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.