[Remote] Research Scientist Intern, AI Core Machine Learning (PhD)
Note: The job is a remote job and is open to candidates in USA. Meta is a technology company focused on advancing artificial intelligence and connecting people through immersive experiences. They are seeking a Research Scientist Intern in AI Core Machine Learning to develop novel machine learning algorithms, improve their efficiency, and collaborate with researchers to apply these advancements to product development.
Responsibilities
- Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques
- Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
- Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
- Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio)
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
- Contribute to research that can be applied to Meta product development
Skills
- Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience with Python, C++, C, Java or other related language
- Experience with deep learning frameworks such as Pytorch or Tensorflow
- Experience building systems based on machine learning and/or deep learning methods
- Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar
- Intent to return to degree program after the completion of the internship/co-op
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, AAAI, AISTATS, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
- Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
- ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio
- Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experience working and communicating cross functionally in a team environment
Benefits
- Benefits
Company Overview