Applied Research Engineer - Multimodal LLMs

A leading technology company that develops consumer electronics, software, and services.
$143,100 - $264,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Description For Applied Research Engineer - Multimodal LLMs

Join Apple's Video Computer Vision organization as an Applied Research Engineer focusing on multimodal LLMs. This role sits within a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. You'll work on cutting-edge research projects involving foundation models and multimodal large language models that integrate various types of data such as text, image, video, and audio. The team balances research and product development to deliver Apple-quality, state-of-the-art experiences, innovating through the full stack, and partnering with Hardware, Software, and ML teams. The position offers competitive compensation including base salary, stock options, comprehensive benefits, and opportunities for professional growth. The ideal candidate will have strong expertise in AI/ML, with a focus on multimodal systems and a track record of translating research into practical applications.

Last updated 20 hours 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 foundation models and multimodal LLMs
  • Programming skills in Python
  • Bachelors Degree and minimum 3 years relevant industry experience
  • PhD in Computer Science, Electrical Engineering, or related field (preferred)
  • Expertise in computer vision, NLP, multimodal fusion, Generative AI (preferred)
  • Experience with deep learning frameworks like PyTorch, JAX (preferred)
  • Publication record in relevant venues (preferred)
  • Experience in leading ML initiatives and shipping products (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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