Are you passionate about advancing the state-of-the-art in machine learning and driving meaningful innovation As an intern in the Machine Learning Research team you will receive technical mentorship and guidance from a dedicated senior researcher and collaborate with a dynamic multidisciplinary and international team of researchers and engineers. Your research will focus on developing and scaling recurrent architectures for sequence modeling investigating novel training methodologies that overcome traditional computational limitations of RNNs and apply these advances to real-world problems in language modeling and time-series analysis. The specific research direction will be decided together with your mentor and your work will be geared towards a publication at a top machine learning venue by the end of the internship. You will be responsible for delivering high-quality ML research aligned with Apples core value ensuring the highest standards of quality scientific rigour innovation and respect for user internship offers a unique opportunity to work at the intersection of Machine Learning Numerical Analysis and High-Performance Computing granting exposure to truly interdisciplinary research while contributing to reshaping how we approach sequence modeling at scale.
- Pursuing a PhD in Machine Learning Computer Science Applied Mathematics Statistics or a related technical field.
- Proven expertise in machine learning supported by a strong publication record in relevant conferences (e.g. NeurIPS ICML ICLR AISTATS CVPR ICCV ECCV ICASSP InterSpeech AAAI ACL FAccT).
- Hands-on experience working with Python and deep learning toolkits such as PyTorch and Jax.
- Ability to formulate a research problem design experiment and implement solutions.
- Familiarity with modern sequence modelling architecture (Transformer Mamba)
- Strong software engineering skills with emphasis on writing efficient and maintainable research code
- Experience working with language modelling time-series analysis and/or RNNs
- Familiarity with concepts of parallelization and High-Performance Computing
- Strong mathematical skills in linear algebra / numerical analysis / control theory
- Ability to work in a collaborative environment
Required Experience:
Intern
Are you passionate about advancing the state-of-the-art in machine learning and driving meaningful innovation As an intern in the Machine Learning Research team you will receive technical mentorship and guidance from a dedicated senior researcher and collaborate with a dynamic multidisciplinary and ...
Are you passionate about advancing the state-of-the-art in machine learning and driving meaningful innovation As an intern in the Machine Learning Research team you will receive technical mentorship and guidance from a dedicated senior researcher and collaborate with a dynamic multidisciplinary and international team of researchers and engineers. Your research will focus on developing and scaling recurrent architectures for sequence modeling investigating novel training methodologies that overcome traditional computational limitations of RNNs and apply these advances to real-world problems in language modeling and time-series analysis. The specific research direction will be decided together with your mentor and your work will be geared towards a publication at a top machine learning venue by the end of the internship. You will be responsible for delivering high-quality ML research aligned with Apples core value ensuring the highest standards of quality scientific rigour innovation and respect for user internship offers a unique opportunity to work at the intersection of Machine Learning Numerical Analysis and High-Performance Computing granting exposure to truly interdisciplinary research while contributing to reshaping how we approach sequence modeling at scale.
- Pursuing a PhD in Machine Learning Computer Science Applied Mathematics Statistics or a related technical field.
- Proven expertise in machine learning supported by a strong publication record in relevant conferences (e.g. NeurIPS ICML ICLR AISTATS CVPR ICCV ECCV ICASSP InterSpeech AAAI ACL FAccT).
- Hands-on experience working with Python and deep learning toolkits such as PyTorch and Jax.
- Ability to formulate a research problem design experiment and implement solutions.
- Familiarity with modern sequence modelling architecture (Transformer Mamba)
- Strong software engineering skills with emphasis on writing efficient and maintainable research code
- Experience working with language modelling time-series analysis and/or RNNs
- Familiarity with concepts of parallelization and High-Performance Computing
- Strong mathematical skills in linear algebra / numerical analysis / control theory
- Ability to work in a collaborative environment
Required Experience:
Intern
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