About the role

What will you do at Apple?

We’re starting to see the incredible potential of multimodal foundation and

large language models, and many applications in the computer vision and machine

learning domain that previously appeared infeasible are now within reach. We are

looking for a highly motivated and skilled Applied Machine Learning Research

Engineer to join our team in the Video Computer Vision group and help us push

the boundaries of human understanding. The Video Computer Vision org has

pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and

Hand gesture control which have changed the way millions of users interact with

their devices. We balance research and product requirements to deliver Apple

quality, state-of-the-art experiences, innovating through the full stack, and

partnering with HW, SW and AI teams to shape Apple's products and bring our

vision to life.

DESCRIPTION

We are seeking a highly motivated and skilled Applied Machine Learning Research

Engineer to join our team. You’ll work on cutting-edge research projects to

advance our AI and computer vision capabilities, contribute to both foundational

research and practical applications on multimodal large language models, and

design, implement, and evaluate algorithms and models for human understanding.

You have a strong background in developing and exploring multimodal large

language models that integrate diverse data modalities such as text, image,

video, and audio. You’ll have the opportunity to collaborate with

cross-functional teams, including researchers, data scientists, software

engineers, human interface designers and application domain experts. You’ll stay

up-to-date on the latest advancements in AI, machine learning, and computer

vision and apply this knowledge to drive innovation within the company.

MINIMUM QUALIFICATIONS

Bachelors Degree and a minimum of 3 years relevant industry experience

Experience in developing, training/tuning multimodal LLMs Programming skills in

Python

PREFERRED QUALIFICATIONS

Expertise in one or more of: computer vision, NLP, multimodal fusion, Generative

AI. Experience with at least one deep learning framework such as JAX, PyTorch,

or similar. Publication record in relevant venues. PhD in Computer Science,

Electrical Engineering, or a related field with a focus on AI, machine learning,

or computer vision.

Which skills does this role require?

Multimodal Large Language ModelsPythonGenerative AIAlgorithm DesignData ScienceApplied Machine LearningResearch EngineerMultimodal Foundation ModelsLarge Language ModelsFaceIDFaceKitGaze ControlHand Gesture ControlAlgorithm DevelopmentHuman UnderstandingAI ResearchLLMs

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