Summary
Posted: Nov 6, 2024
Weekly Hours: 40
Role Number:200577639
Join our Apple Services Special Projects Team and help build the next generation GenAI solutions for millions of people which uphold the user privacy and security that Apple customers know and expect! Our team provides opportunities to shape the future of Apple’s technologies, experiences, and services by building innovative infrastructure and tools to support your research and engineering endeavors. If you are seeking a collaborative environment where innovation thrives and your expertise is valued, and you want to work on sophisticated generative AI problems which have never been solved, this may be a role for you.
Description
We are seeking an exceptional Senior Machine Learning Researcher with a consistent track record in applied AI research and software development to collaborate on shaping the future of AI-powered innovations at Apple. Together on our team, we will have the opportunity to push boundaries, challenge assumptions, and bring our ideas to life. On our team, some of our work includes but is not limited to: – Designing, developing, and deploying large-scale multimodal foundation models and compact neural architectures such as transformers. – Collaborating with multi-functional teams of ML researchers, software engineers, and designers to integrate research into production frameworks and drive product innovation. – Developing and implementing novel algorithms and techniques to address complex problems, with a focus on scalability, efficiency, and deployment on distributed backends and devices. – Working closely with product teams throughout the development lifecycle, from concept to launch, to ensure seamless integration of AI-powered features. If you’re a motivated and innovative Senior Machine Learning Scientist who is passionate about pushing the boundaries of AI research and engineering, we’d love to hear from you!
Minimum Qualifications
- MS or PhD or equivalent experience in CS/EE/AI or related fields plus 5+ years of applied research and development in AIML or Search technologies and implementing novel algorithms and techniques.
- Hands on experience with Deep Learning and Natural Language Processing
- Experience in multimodal Generative AI modeling and application development, with a focus on data, evaluation, automation, and deployment on distributed backends and devices.
- Proficiency in ML tools/frameworks such as PyTorch, JAX, Tensorflow
- Ability to adopt or implement established methodologies and apply statistical analysis in problem-solving.
Preferred Qualifications
- Experience with ML optimization methods for efficient on-device ML
- Expertise in working with Large Language Models
- Understanding of ML accelerations and architectures
- Published and cited research in ACM, NeurIPS, ICCV, NAACL, or other notable professional conferences
- Experience with recommendation technologies and search specific criteria
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 $175,800 and $312,200, 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.
Notes: If you’re interested with the above job, please click button [Apply the job @Company’s site] below to brings you directly to the company’s site.
Job Features
Job Category | Research |
Job Reference ID | 200577639 |
Job Location | Cupertino, California, United States |