October 16, 2024

Multimodal Generative Modeling Engineer

Mid • On-site

$135,400 - $250,600/yr

San Diego, CA

Summary

Posted:
Weekly Hours: 40
Role Number:200572682
Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. Join us in building new groundbreaking experiences in the era of generative AI. You will work on various projects aimed at pushing the boundaries of creativity and innovation within Apple's ecosystem. We are looking for machine learning engineers to work on video learning, multimodal foundation models, multimodal LLM agent, and generative AI technologies. We are looking for candidates that thrive in tightly collaborative team of self-motivated individuals.

Description

This position requires a highly motivated person who wants to help us advance large-scale video learning, multimodal learning, and multimodal LLM agent. As a video machine learning algorithm engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the solution, and shipping it in the products. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.

Minimum Qualifications

  • Deep understanding in neural network, strong experience in designing and optimizing networks
  • Proficiency in Python and one of ML frameworks (e.g. pytorch, jax, tensorflow)
  • Strong programming debugging and problem solving skills

Preferred Qualifications

  • Experience in developing multimodal LLM, AI Agent
  • Experience in image/video ML modeling
  • Ability to work in a diverse collaborative environment as part of large projects

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.