Machine Learning Engineer Intern
New
100% Remote WorldwideInternshipEntry
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 1+ years
- Required Skills
- PythonData AnalysisMachine LearningPyTorchDeep Learning
Requirements
- Currently involved in a PhD program in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.
- 1+ years of experience of working in industry or research.
- Programming skills in Python, with experience in developing machine learning algorithms or infrastructure.
- Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling.
- Scientific background and ability to formulate and test novel hypotheses.
- Ability to manage unstructured datasets with strong analytical skills.
- Project management and organizational skills.
- Proven ability to support and collaborate with cross-functional teams.
Responsibilities
- Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives.
- Collaborate closely with data scientists to pioneer research in generative modeling and representation learning.
- Identify bottlenecks in data processing pipelines and devise effective solutions.
- Maintain high standards of code quality, organization, and automatization.
- Adapt machine learning and neural network algorithms to optimize performance in distributed clusters and GPUs.
- Write and revise papers, communicate and disseminate results.
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