3 Remote AI Research Scientist Computer Vision jobs in whatjobs
Remote AI Research Scientist - Computer Vision
Posted 20 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a talented Remote AI Research Scientist specializing in Computer Vision to join their world-class team. This fully remote role offers the opportunity to conduct cutting-edge research and develop advanced algorithms that will shape the future of artificial intelligence. You will be responsible for exploring new approaches to image and video analysis, object detection, segmentation, and recognition. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in top-tier conferences and journals. Proven experience in developing and implementing deep learning models for computer vision tasks is essential. Proficiency in programming languages such as Python and expertise with AI frameworks like TensorFlow or PyTorch are required. We are looking for an individual with exceptional analytical and problem-solving skills, who can independently drive research projects from conception to implementation. Strong written and verbal communication skills are crucial for disseminating research findings and collaborating with a global team of scientists. Responsibilities include: Conducting fundamental and applied research in computer vision; Developing novel algorithms and models for image and video understanding; Implementing and evaluating AI models; Collaborating with other researchers and engineers to integrate AI solutions into products; Staying abreast of the latest advancements in AI and computer vision; Publishing research findings in leading academic venues; Mentoring junior researchers and interns; Contributing to the development of intellectual property. This is a highly challenging and rewarding position for a passionate AI researcher looking to make a significant impact. The role is entirely remote, allowing you to contribute your expertise to groundbreaking projects from anywhere, while being connected to our operations in **Mombasa, Mombasa, KE**.
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Remote AI Research Scientist (Computer Vision)
Posted 10 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a brilliant and motivated Remote AI Research Scientist specializing in Computer Vision to join their cutting-edge team. This is a fully remote role, perfect for researchers who thrive in a collaborative, yet autonomous, virtual environment. The ideal candidate will have a strong academic background and practical experience in developing and implementing advanced computer vision algorithms and deep learning models. You will contribute to groundbreaking projects that push the boundaries of artificial intelligence, with a focus on real-world applications.
Key Responsibilities:
Key Responsibilities:
- Conduct theoretical and applied research in computer vision, focusing on areas such as image recognition, object detection, segmentation, and 3D reconstruction.
- Design, develop, and implement state-of-the-art deep learning models for computer vision tasks.
- Experiment with new algorithms, architectures, and techniques to advance AI capabilities.
- Analyze and interpret complex datasets, preparing them for model training and evaluation.
- Evaluate the performance of AI models and algorithms, identifying areas for improvement.
- Collaborate with other researchers and engineers to integrate AI solutions into products and platforms.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research through literature review and conference participation.
- Publish research findings in top-tier academic journals and present at international conferences.
- Develop prototypes and proof-of-concepts for novel AI applications.
- Contribute to the intellectual property portfolio through patents and publications.
- Mentor junior researchers and contribute to the team's scientific growth.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field with a specialization in Computer Vision.
- Strong publication record in reputable AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) or journals.
- Proven experience in developing deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages such as Python, and experience with libraries like OpenCV, scikit-learn, NumPy.
- Solid understanding of mathematical concepts underlying AI and computer vision (linear algebra, calculus, probability, statistics).
- Ability to work independently, manage research projects, and collaborate effectively in a remote setting.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills to articulate complex research ideas clearly.
This advertiser has chosen not to accept applicants from your region.
1
Remote AI Research Scientist - Computer Vision
Posted today
Job Viewed
Job Description
Our client, a pioneering firm at the forefront of Artificial Intelligence and Emerging Technologies, is seeking a highly innovative and driven Remote AI Research Scientist specializing in Computer Vision. This fully remote role offers a unique opportunity to contribute to groundbreaking research and development in cutting-edge AI applications. You will be instrumental in conceptualizing, developing, and implementing novel computer vision algorithms and models. Your work will focus on areas such as object detection, image segmentation, facial recognition, and scene understanding, pushing the boundaries of what's possible. The ideal candidate possesses a PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. You should have extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and a solid understanding of classical computer vision techniques. This position requires exceptional analytical skills, creativity, and the ability to work independently and collaboratively within a global, remote research team. You will be expected to stay abreast of the latest advancements in AI and computer vision, and to translate research findings into practical, impactful solutions.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct cutting-edge research in computer vision, developing new algorithms and models.
- Implement and optimize deep learning models for image and video analysis tasks.
- Design and execute experiments to evaluate model performance and identify areas for improvement.
- Collaborate with other researchers and engineers to integrate AI solutions into products and services.
- Publish research findings in leading AI conferences and journals.
- Explore and implement state-of-the-art techniques in areas such as object recognition, tracking, and generative models.
- Develop and maintain robust codebases for research and development.
- Stay current with the latest research trends and advancements in computer vision and deep learning.
- Mentor junior researchers and contribute to the team's intellectual property development.
- Present research results and technical insights to internal teams and external audiences.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.
- Proven track record of research excellence with publications in top AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Deep understanding of fundamental computer vision concepts and algorithms.
- Experience with large-scale datasets and distributed training environments is a plus.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Outstanding communication and presentation skills for conveying complex technical concepts.
- Ability to work autonomously and drive research initiatives in a remote setting.
- Passion for innovation and a proactive approach to problem-solving.
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