Applied Research Engineer - Multimodal LLMs

A leading technology company that designs, develops, and sells consumer electronics, software, and services.
$135,400 - $250,600
Machine Learning
Mid-Level 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 cutting-edge multimodal large language models (LLMs). This role sits at the intersection of research and product development, focusing on advancing AI and computer vision capabilities.

The position involves developing and exploring multimodal LLMs that integrate various types of data including text, image, video, and audio. You'll be part of a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products.

Key aspects of the role include:

  • Conducting research and development on multimodal LLMs
  • Designing and implementing algorithms to enhance AI system capabilities
  • Collaborating with cross-functional teams to translate research into practical applications
  • Contributing to both foundational research and product development
  • Working with HW, SW and ML teams to influence sensor and silicon roadmap

The role offers competitive compensation ($135,400-$250,600) plus equity opportunities through stock programs. Benefits include comprehensive medical/dental coverage, retirement benefits, education reimbursement, and potential bonuses or relocation assistance.

This is an excellent opportunity for someone passionate about AI research who wants to work on cutting-edge technology while delivering practical solutions that impact Apple's product line. You'll be part of a team that balances innovation with product delivery, working on state-of-the-art experiences that maintain Apple's high quality standards.

Last updated a day ago

Responsibilities For Applied Research Engineer - Multimodal LLMs

  • Conduct research and development on multimodal large language models
  • Design, implement, and evaluate algorithms and models
  • Collaborate with cross-functional teams to translate research into applications
  • Stay up-to-date with latest AI, ML, and computer vision advancements
  • Contribute to both foundational research and practical applications

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
  • Experience with deep learning frameworks (JAX, PyTorch, or similar)
  • PhD in Computer Science, Electrical Engineering, or related field (preferred)
  • Publication record in relevant venues (preferred)

Benefits For Applied Research Engineer - Multimodal LLMs

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
Education Budget
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Employee discount on Apple products

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