AI Research Scientist - Computer Vision

Placements24

East London

Hybrid

ZAR 1,976,000 - 2,964,000

Full time

3 days ago
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Benefits offered by this job

Competitive compensation
Fully remote work
Conferences and publications support
Access to large compute resources
Professional development
Collaborative research environment

Job summary

Placements24 is seeking an AI Research Scientist specializing in Computer Vision for a fully remote role. You will conduct original research, develop advanced deep learning models, and collaborate with a global team to translate findings into practical prototypes.

The ideal candidate holds a PhD with a strong CV focus, publications in leading venues, and expertise in Python and frameworks like TensorFlow, PyTorch, or Keras. OpenCV experience and large-scale datasets are preferred.

Qualifications

  • PhD with strong CV focus and publications.
  • Deep learning expertise for computer vision tasks.
  • Proficient in Python and ML frameworks (TF, PyTorch, Keras).
  • Experience with large-scale image datasets.

Responsibilities

  • Conduct original research in computer vision and related areas.
  • Develop and implement advanced deep learning models for visual tasks.
  • Design experiments to validate hypotheses and measure performance.
  • Collaborate with researchers and engineers to prototype features.
  • Publish research results in top-tier CV conferences/journals.
  • Stay updated on latest CV and AI advancements.

Skills

Research experience
Analytical skills
Problem solving
Publications contributors

Education

PhD in Computer Science or Electrical Engineering

Tools

TensorFlow
PyTorch
Keras
OpenCV

Job description

About the Role

Our client is seeking a highly innovative AI Research Scientist specializing in Computer Vision to join their world-class research team, operating in a fully remote setting. This role is at the forefront of developing novel AI algorithms and models that push the boundaries of visual understanding. You will tackle challenging research problems, contribute to groundbreaking discoveries, and work towards transforming cutting‑edge research into tangible applications. This is an exceptional opportunity for a creative and driven scientist to make a significant impact in the field of AI, collaborating with a global team of experts in a supportive and intellectually stimulating environment.

Key Responsibilities
  • Conduct original research in computer vision, including areas such as image recognition, object detection, segmentation, and 3D vision.
  • Develop and implement advanced deep learning models for complex visual tasks.
  • Design and execute rigorous experiments to validate research hypotheses and evaluate model performance.
  • Collaborate with other researchers and engineers to translate research findings into practical prototypes and product features.
  • Publish research results in top-tier computer vision conferences and journals.
  • Stay abreast of the latest advancements in computer vision and AI, contributing to the team's knowledge base.
Requirements
  • PhD in Computer Science, Electrical Engineering, or a related field, with a strong focus on computer vision.
  • Proven track record of research contributions, demonstrated by publications in leading conferences/journals.
  • Deep understanding of deep learning architectures and techniques relevant to computer vision.
  • Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with image processing libraries (e.g., OpenCV) and large-scale datasets.
  • Strong analytical and problem-solving skills, with a passion for scientific discovery.
Benefits
  • Competitive compensation and a generous benefits package.
  • Fully remote work flexibility with support for home office setup.
  • Opportunities to publish and present at leading AI conferences.
  • Access to significant computational resources for research.
  • Professional development and continuous learning opportunities.
  • Collaborative and intellectually stimulating research environment.
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