4 Senior AI Research Scientist Computer Vision Remote jobs in whatjobs
Senior AI Research Scientist - Computer Vision (Remote)
Posted 12 days ago
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Senior AI Research Scientist - Computer Vision (Remote)
Posted 11 days ago
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Job Description
Responsibilities:
- Conduct advanced research in computer vision and deep learning, focusing on areas such as object detection, image segmentation, facial recognition, and scene understanding.
- Develop and implement novel deep learning architectures and algorithms.
- Train, fine-tune, and evaluate deep learning models using large-scale datasets.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision through literature review and conference participation.
- Publish research findings in leading AI conferences and journals.
- Design and conduct experiments to validate research hypotheses and measure model performance.
- Contribute to the development of the company's intellectual property.
- Mentor junior researchers and interns, fostering a collaborative research environment.
- Analyze and interpret complex datasets to derive insights and guide research directions.
- Develop and maintain high-quality, well-documented code in Python using frameworks like TensorFlow or PyTorch.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- 5+ years of research experience in computer vision and deep learning.
- A strong publication record in top-tier AI conferences and journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., NumPy, SciPy, OpenCV).
- Deep understanding of various computer vision tasks and associated algorithms.
- Experience with large-scale dataset management and processing.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to articulate complex research ideas.
- Proven ability to work independently and as part of a globally distributed research team.
- Experience with distributed training and cloud computing platforms is a plus.
Senior AI Research Scientist - Computer Vision - Remote
Posted 10 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in computer vision, focusing on areas such as object detection, segmentation, tracking, 3D reconstruction, and generative models.
- Develop and implement novel deep learning architectures and algorithms for visual understanding tasks.
- Design and execute experiments to validate research hypotheses and benchmark model performance.
- Analyze and interpret complex datasets, identifying key trends and insights.
- Collaborate with other researchers and engineers to integrate research prototypes into larger AI systems.
- Publish research findings in top-tier academic conferences and journals.
- Stay abreast of the latest advancements and emerging trends in AI, machine learning, and computer vision.
- Mentor junior researchers and interns, providing technical guidance and fostering their development.
- Contribute to the strategic direction of the company's AI research roadmap.
- Develop efficient and scalable code for research prototypes and experimental systems.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong specialization in Computer Vision.
- A minimum of 5 years of post-doctoral or industry research experience in computer vision.
- Demonstrated track record of significant contributions to the field through publications in leading venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++, and associated libraries (e.g., OpenCV, NumPy).
- Strong theoretical foundation in machine learning, deep learning, statistics, and linear algebra.
- Experience with large-scale datasets and distributed training is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
- Proven ability to work independently, manage research projects, and thrive in a highly collaborative remote environment.
Senior AI Research Scientist - Computer Vision (Remote)
Posted 9 days ago
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Job Description
Responsibilities:
- Conduct advanced research in computer vision, including image recognition, object detection, segmentation, 3D reconstruction, and video analysis.
- Develop and implement novel deep learning models and algorithms for visual tasks.
- Design and execute experiments to validate research hypotheses and benchmark model performance.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest research publications, conferences, and trends in computer vision and machine learning.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Analyze large-scale image and video datasets, ensuring data quality and relevance for research.
- Contribute to the intellectual property strategy of the organization through patent applications.
- Present research findings to technical and non-technical audiences.
- Ph.D. in Computer Science, Electrical Engineering, AI, or a related field with a specialization in Computer Vision.
- Minimum of 6 years of post-doctoral research experience or equivalent industry research experience in computer vision.
- Proven track record of impactful research contributions, evidenced by publications in top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Strong theoretical understanding and practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
- Proficiency in programming languages such as Python and C++.
- Experience with distributed training and cloud computing platforms (e.g., AWS, GCP, Azure).
- Excellent analytical, problem-solving, and experimental design skills.
- Strong communication and interpersonal skills for effective collaboration in a remote setting.
- Ability to lead research projects from conception to implementation.
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