Machine Learning Researcher, Multimodal Foundation Models

Summary

Posted: Dec 17, 2024

Role Number:200527006

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple product & experiences! As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire the future Apple products. We are continuously advancing the state of the art in Computer Vision and Machine Learning. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop state of the art solution for challenging problems. We are touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. This is a unique opportunity to be part of what forms the future of Apple products that will touch the life of many people. We (Spatial Perception Team) looking for a machine learning researcher to work on the field of Generative AI and multi-modal foundation models. Our team has an established track record of shipping features that leverages multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro. We are focused on building experiences that leverages the power of our sensing hardware as well as large foundation models. You will be a part of a diverse, fast moving team based in Cupertino.

Description

This position requires a highly motivated person who wants to help us advance the field of generativeAI and multi-modal foundation models. You will be responsible for designing, implementing, evaluating foundation models based on the latest advancements in the fields, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across apple to deliver the best products.

Minimum Qualifications

• Experience in developing, training/tuning multimodal LLMs
• Programming skills in Python and C++
• Bachelors Degree and a minimum of 3 years relevant industry experience.

Key Qualifications

• Strong academic and publication record (CVPR, ICCV/ECCV, NeurIPS, ICML, etc)
• Solid programming skills with Python
• Deep understanding of large foundation models
• Deep understanding of multi-task, multi-modal machine learning domain
• Familiarity with deep learning toolkits
• Familiar with challenges associated with training large models and working with large data
• Ability to communicate the results of analyses in a clear and effective manner

Education & Experience

PhD in Computer Science, Computer Vision, Computer Graphics, Machine Learning or equivalent.

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 $166,600 and $296,300, 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 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.