Research Scientist Intern, AI Core Machine Learning (PhD)
Menlo Park, CA | New York, NY
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
- Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques.
- Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy.
- Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, 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 languages.
- Experience with deep learning frameworks such as Pytorch or Tensorflow.
- 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 publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar.
- Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.
- Experience building large-scale machine learning systems and training with large datasets.
- Experience communicating complex research in a clear, precise, and actionable manner.
- 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.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Tags: Computer Science Computer Vision Deep Learning GitHub ICLR Java Machine Learning Mathematics NeurIPS NLP Open Source PhD Physics Privacy Python PyTorch Reinforcement Learning Research Security Statistics TensorFlow VR
Perks/benefits: Career development Conferences Equity / stock options Health care Salary bonus
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