Applied Research Intern, Multimodal Generative Ai

Job Description:

Changing the world and user experiences with advanced powerful technologies is what our team is about. We are looking for Research Interns to work with a diverse group of researchers to innovate and advance novel/SOTA new multimodal learning solutions and algorithms for the next generation consumer applications, pushing forward the research and development of cutting-edge generative machine learning, computer vision, computer graphics, and ARVR technologies. The ideal candidate is a highly motivated and creative individual with broad knowledge in SOTA machine learning, computer vision, and computer graphics, and with demonstrated ability for new technology research and a proven record of influential publications in related fields. The candidate will play a significant role in developing novel algorithms, innovative system solutions, and open-source prototypes; generating high-value IPRs/patents; and publishing our latest findings in well-known conferences and journals. If you have a passion for solving challenging problems; gaining valuable experiences and knowledge in Applied Research; making significant impact on real-world applications of Machine Learning and Artificial Intelligence technologies, all in a flexible, highly collaborative, but fast paced team, then we’d love to talk to you.

Requirements:                                                                                      

• Proven hands-on experiences with SOTA machine learning algorithms, especially with generative machine learning and/or fine tuning of LLMs/LVMs, and familiarity with ML implementation environments and platforms such as PyTorch and/or Tensorflow.
• Familiar with the ML algorithm and application development lifecycle, data acquisition & annotation, model design & implementation, algorithm testing and improvement.
• Deep knowledge and hands-on experience in computer vision and computer graphics is a plus.
• Strong programming skills in python or C / C++ for Windows and/or Linux is required.
• Experience in working with open-source software frameworks is a plus.
• Good communication skills, both verbal and written.
• Ph.D. or M.S. in Computer Science / Machine Learning / Statistics, or related technical disciplines.

Working Location: Santa Clara, CA

Hourly intern pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master’s, Bachelor’s, etc.), years of relevant experience, year in school, internship location, credentials, qualifications, geographic location and other job-related factors.

Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications.   Additional details on the compensation package will be provided to candidates during the interview process.