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Deep Learning Research Scientist

2 months ago

Charlottesville, Virginia, United States Commonwealth of Virginia Full time
Deep Learning Research Scientist

The University of Virginia seeks a highly skilled Deep Learning Research Scientist to join the Research Computing team. As a member of this team, you will play a crucial role in supporting research projects across various disciplines by developing and applying innovative deep-learning algorithms to large datasets.

Key Responsibilities:
  • Collaborate with researchers to apply AI, machine learning, and deep learning techniques to their data.
  • Develop new algorithms for deep learning as needed.
  • Work with interdisciplinary teams to apply AI solutions to complex research problems.
  • Oversee and manage AI-based projects, ensuring timely completion and scientific rigor.
  • Prepare presentations and technical reports that reflect your results.
Requirements:
  • An advanced degree and at least 5 years of related work experience.
  • Proven expertise in AI systems and learning algorithms.
  • Strong analytical and problem-solving skills.
  • Excellent communication and writing skills.
  • Inclusive and able to adapt to working with diverse researchers and disciplines.
Preferred Qualifications:
  • PhD in Computer Science, Electrical Engineering, Data Science, or a related field with a focus on AI/DL.
  • Years of experience in research.
  • Solid understanding of AI applications such as generative AI, LLMs, computer vision, and speech processing.
  • Coding skills in popular deep learning frameworks, such as PyTorch and TensorFlow.
Benefits:
  • The choice between 3 different health plans.
  • Vision and dental insurance.
  • Life insurance.
  • Benefits savings accounts.
  • Starting with 22 days of paid time off a year in addition to 12 or more paid holidays.
  • 8 weeks of paid parental leave.
  • Short term disability.
  • Up to $5,250 after your first year for combined use of tuition toward a degree-seeking program or up to $2,000 for professional development including classes, certification training and conferences.