What are the responsibilities and job description for the Research Intern, Machine Learning for Computer Vision and Generative AI position at Futurewei Technologies, Inc.?
Job Description
Changing the world and user experiences with learned world knowledge 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 computer vision and generative AI solutions and algorithms for the next generation consumer applications, pushing forward the research and development of cutting-edge generative machine learning (ML), computer vision (CV), computer graphics (CG). The ideal candidate is a highly motivated and creative individual with broad knowledge in SOTA ML/CV/CG, 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
All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status under federal, state, and local laws.
Changing the world and user experiences with learned world knowledge 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 computer vision and generative AI solutions and algorithms for the next generation consumer applications, pushing forward the research and development of cutting-edge generative machine learning (ML), computer vision (CV), computer graphics (CG). The ideal candidate is a highly motivated and creative individual with broad knowledge in SOTA ML/CV/CG, 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.
All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status under federal, state, and local laws.
