Multimodal AI Researcher
22 days ago Sunnyvale, CA
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
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3.1/5 in supportive management
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65% would recommend this company to other women
66% say the CEO supports gender diversity
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The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, multimodal generative AI, and agents. Our algorithms ship across a range of Apple products, including iPhone and Apple Vision Pro, where our work has contributed to technologies like Personalized Spatial Audio, EyeSight, and Persona as well as future Apple products. We are an applied research group, we push the state of the art and then bring it to product. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.
Description
We are looking for a Multimodal AI Researcher with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. Our ongoing investigations include interactive models, audio-to-audio modeling and systems. You will work on hard, open research problems in multimodal generative AI and agents, and you will see that work through to real features used by millions of people. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs.
We hire researchers who are highly motivated and deeply care about shipping. A successful candidate will stay up-to-date with the latest advancements in multimodal foundations models and applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering.
Preferred Qualifications
MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
Experience in developing, training/tuning foundation models and multimodal LLMs.
Experience with training and troubleshooting generative architectures such as diffusion, reinforcement learning, flow matching or normalizing flow at scale.
Experience with real-time or streaming multimodal models.
Experience with speech understanding and generation.
Experience applying reinforcement learning to help post-train foundation models.
Excellent communication and experience working with multi-functional teams.
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience.
Experience building models for multimodal perception systems.
Experience working with LLMs and VLMs.
Software engineering skills and proficiency in Python and PyTorch.
Curiosity and willingness to learn new things in order to improve the quality of their solutions.
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 $150,400 and $277,600, 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.
Description
We are looking for a Multimodal AI Researcher with a strong background in developing foundation models for generative AI and multimodal systems that integrate various types of real-time sensor data such as video and audio with other modalities like text. Our ongoing investigations include interactive models, audio-to-audio modeling and systems. You will work on hard, open research problems in multimodal generative AI and agents, and you will see that work through to real features used by millions of people. You will collaborate with others to drive data requirements, validation strategies, and key performance indicators, and conduct algorithm research and development that serves product needs.
We hire researchers who are highly motivated and deeply care about shipping. A successful candidate will stay up-to-date with the latest advancements in multimodal foundations models and applying this knowledge to drive innovation, but also take a practical approach to problem solving and software engineering.
Preferred Qualifications
MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
Experience in developing, training/tuning foundation models and multimodal LLMs.
Experience with training and troubleshooting generative architectures such as diffusion, reinforcement learning, flow matching or normalizing flow at scale.
Experience with real-time or streaming multimodal models.
Experience with speech understanding and generation.
Experience applying reinforcement learning to help post-train foundation models.
Excellent communication and experience working with multi-functional teams.
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience.
Experience building models for multimodal perception systems.
Experience working with LLMs and VLMs.
Software engineering skills and proficiency in Python and PyTorch.
Curiosity and willingness to learn new things in order to improve the quality of their solutions.
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 $150,400 and $277,600, 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.
Additional Information
- Salary: $150,400 – $277,600
- Posted: 22 days ago