What are the responsibilities and job description for the Research Intern, Generative AI & World Modeling position at Futurewei Technologies, Inc.?
Changing the world and user experiences through learned world knowledge is at the core of our team’s mission. We are seeking Research Interns to work with a diverse group of researchers to innovate and advance state-of-the-art solutions in computer vision, computer graphics, generative AI, and physical AI for next-generation consumer applications. This role focuses on pushing the boundaries of cutting-edge research and development in generative machine learning (GenAI, ML), computer vision (CV), computer graphics (CG), and physical AI (PhyAI).
The ideal candidate is a highly motivated and creative researcher with broad knowledge of state-of-the-art GenAI, PhyAI, ML, CV, and CG, demonstrated research ability, and a strong track record of impactful publications in related fields. Interns will play a significant role in developing novel algorithms, innovative system solutions, and open-source prototypes, as well as publishing results in leading conferences and journals.
If you are passionate about solving challenging problems, gaining hands-on experience in applied research, and making a meaningful impact on real-world applications of machine learning and artificial intelligence—and if you are excited to work at the frontier of GenAI, PhyAI, and world model research within a flexible, highly collaborative, and fast-paced team—we would love to hear from 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.
The ideal candidate is a highly motivated and creative researcher with broad knowledge of state-of-the-art GenAI, PhyAI, ML, CV, and CG, demonstrated research ability, and a strong track record of impactful publications in related fields. Interns will play a significant role in developing novel algorithms, innovative system solutions, and open-source prototypes, as well as publishing results in leading conferences and journals.
If you are passionate about solving challenging problems, gaining hands-on experience in applied research, and making a meaningful impact on real-world applications of machine learning and artificial intelligence—and if you are excited to work at the frontier of GenAI, PhyAI, and world model research within a flexible, highly collaborative, and fast-paced team—we would love to hear from you.
Requirements
- Ph.D. in Computer Science / Machine Learning / Statistics, or related technical disciplines, with a track record of publishing scientific papers
- Proven hands-on experiences with SOTA machine learning algorithms, especially with generative machine learning, physical AI, 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
- Self-motivated detail-oriented team player
- Good verbal and written communication skills
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.