Intern, Machine Learning for Computer Vision Research

Our research team works on cutting-edge projects in the field of computer vision (CV) and artificial intelligence, focusing on creating innovative solutions that advance state-of-the-art techniques. We are looking for a passionate and talented intern to join our research team. The ideal candidate is highly motivated with broad knowledge in ML/CV, and with demonstrated ability for new technology research and a proven record of influential publications in related fields. The intern will have the opportunity to work with a diverse group of researchers in the exploration of advanced techniques and contribute to the cutting-edge projects. The key responsibilities include identifying SOTA solutions, developing novel algorithms and publishing the findings in well-known conferences or journals.

Requirements

• Deep understanding of computer vision and machine learning fundamentals
• Strong programming skills in Python, with experience using computer vision libraries and frameworks such as PyTorch, TensorFlow, OpenCV, or similar
• Proven experience in conducting original research in computer vision, with at least one publication in a peer-reviewed journal or conference
• Strong written and verbal communication skills, with the ability to contribute to academic publications and present research findings
• Ability to work independently and collaborate effectively within a team
• PhD or M.S. student in Computer Science, Computer Vision, Machine Learning, or a related field
  
  
  

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

Futurewei Technologies, Inc. is proud to be an Equal Opportunity Employer.

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.