Research Science: Internship opportunities
Core
Analyze and improve performance of advanced algorithms on large-scale datasets and implement prototypes of scalable systems in AI applications.
Role type
Research Science Intern
Builds
Prototypes of scalable systems in AI applications
Domain
Machine Intelligence and Machine Learning
Deliverable
production ML models
Required skills
C/C++, Java, MATLAB, Python, PyTorch, TensorFlow, Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy
Preferred skills
Experience with specialized tools/methods in the research community
Technologies
PyTorch, TensorFlow
Responsibilities
Analyze and improve performance of advanced algorithms on large-scale datasets; Implement prototypes of scalable systems in AI applications; Collaborate with team members on developing systems from prototyping to production level; Develop solutions for real world, large-scale problems; Research new tools, technologies, and methods being used in the research community
Seniority
Intern
