Applied Research Engineer - Multimodal LLMs

A leading technology company that develops innovative products across hardware, software, and services.
$135,400 - $250,600
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Description For Applied Research Engineer - Multimodal LLMs

Apple's Video Computer Vision organization is seeking an Applied Research Engineer to join their team working on multimodal large language models (LLMs). This role sits at the intersection of cutting-edge AI research and practical applications, focusing on developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. The ideal candidate will contribute to groundbreaking research in multimodal LLMs, integrating various data types including text, image, video, and audio.

The position offers an opportunity to work with state-of-the-art AI technologies while collaborating with cross-functional teams including hardware, software, and machine learning experts. You'll be part of a centralized applied research and engineering organization that balances research innovation with product development to deliver Apple-quality experiences.

The role combines theoretical research with practical implementation, requiring expertise in multimodal LLMs, computer vision, and machine learning. You'll have the chance to influence Apple's sensor and silicon roadmap while working on projects that directly impact product development. The position offers competitive compensation, including base salary, stock options, and comprehensive benefits.

This is an ideal opportunity for someone passionate about AI and machine learning who wants to work at the forefront of technology development. You'll be contributing to innovative solutions that will shape the future of Apple's products while working with some of the industry's best talents in AI and computer vision.

Last updated 25 days ago

Responsibilities For Applied Research Engineer - Multimodal LLMs

  • Conduct research and development on multimodal large language models
  • Design, implement, and evaluate algorithms and models to enhance AI systems
  • Collaborate with cross-functional teams to translate research into practical applications
  • Stay up-to-date with latest advancements in AI, machine learning, and computer vision

Requirements For Applied Research Engineer - Multimodal LLMs

Python
  • Experience in developing, training/tuning multimodal LLMs
  • Programming skills in Python
  • Bachelors Degree and a minimum of 3 years relevant industry experience
  • Expertise in computer vision, NLP, multimodal fusion, or Generative AI (preferred)
  • Experience with deep learning frameworks like JAX, PyTorch, or similar (preferred)
  • Publication record in relevant venues (preferred)
  • PhD in Computer Science, Electrical Engineering, or related field with focus on AI, machine learning, or computer vision (preferred)

Benefits For Applied Research Engineer - Multimodal LLMs

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Educational expense reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Employee discount on products
  • Free services

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