Machine Learning Researcher, Image/ Video Generation

Apple; Singapore; Presencial; SGD 70.000 - 100.000; Jornada completa

Descripción de la vacante

Apple is hiring a researcher in Singapore with a strong background in image/video generation and multimodal foundation models. You will develop and evaluate advanced models for AI-powered products. Candidates should have a Bachelor’s degree in relevant fields with experience in machine learning and computer vision. Familiarity with frameworks like PyTorch and TensorFlow is essential. Apple promotes diversity and inclusion, providing a supportive environment for all employees.

Formación

• 3 years of relevant work experience in machine learning and deep learning.
• Experience in developing models for object detection and visual question answering.
• Solid understanding of image generation methods like VAE, GAN, and diffusion models.

Responsabilidades

• Develop foundational video generation and editing models.
• Fine-tune domain-specific video generation models for Apple’s products.
• Conduct research and transfer technologies to production-ready models.
• Translate product requirements into modeling and engineering tasks.

Conocimientos

Machine learning

Deep learning

Computer vision

Statistical modeling

Image generation models

Educación

Bachelor in Electrical Engineering, Computer Science or Computer Engineering

Herramientas

PyTorch

TensorFlow

Jax

Python

Java

Go

C++

Descripción del empleo

Summary

We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and delight millions of users.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision/graphics experience, and solid engineering skills in creating outstanding model capabilities and product features.

Responsibilities

• Developing, fine-tuning, and evaluating foundational video generation and editing models, as well as unified multimodal foundation models capable of both visual understanding and generation
• Developing, fine-tuning, and evaluating domain-specific video generation and editing models for various tasks and applications in Apple’s AI-powered products
• Conducting innovative research and transferring pioneering research in generative AI to production-ready technologies
• Understanding product requirements, translating them into modelling tasks and engineering tasks

Minimum Qualifications

• Bachelor in Electrical Engineering, Computer Science or Computer Engineering with 3 years of relevant work experience
• Experience in machine learning, deep learning and statistical modeling
• Experience in developing models for computer vision tasks, such as object detection, visual question answering
• Experience in image generation models, such as VAE, GAN, and diffusion models
• Proficiency in one of the following deep learning frameworks: PyTorch, Jax, Tensorflow
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• MS or PhD in Electrical Engineering, Computer Science or Computer Engineering
• Fresh MS/PhD graduates are welcome to apply
• Experience in developing state-of-the-art image and video generation/editing models
• Good interpersonal skills and team player

Apple is an equal opportunity employer that is committed to inclusion and diversity. Apple provides reasonable accommodations to applicants with disabilities and in accordance with local requirements. Apple is a drug-free workplace.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200633003-3278