9 Principal AI Research Scientist Computer Vision jobs in whatjobs
Principal AI Research Scientist - Computer Vision
Posted 20 days ago
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As a Principal Scientist, you will lead ambitious research projects from conception to completion, including formulating research questions, designing experiments, implementing novel algorithms, and rigorously evaluating their performance. You will be expected to publish your findings in top-tier AI conferences and journals, contributing significantly to the scientific community. Collaboration is key; you will work closely with a world-class team of AI researchers, engineers, and product managers, sharing knowledge and fostering a culture of scientific excellence. A deep theoretical understanding of deep learning, convolutional neural networks (CNNs), transformers, and related architectures is essential, alongside extensive practical experience in developing and deploying large-scale computer vision systems.
The ideal candidate will have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record in leading computer vision venues. You should possess exceptional programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. Expertise in areas like self-supervised learning, few-shot learning, or adversarial attacks in computer vision is highly desirable. You must be a self-starter, capable of working independently in a remote setting, with excellent analytical, problem-solving, and communication skills. The ability to mentor junior researchers and guide research direction will be a significant asset.
Key responsibilities include:
- Leading cutting-edge research in computer vision and deep learning.
- Developing novel algorithms for image analysis, object recognition, and scene understanding.
- Designing and implementing large-scale AI models for computer vision tasks.
- Publishing research findings in top-tier conferences and journals.
- Collaborating with cross-functional teams to translate research into impactful products.
- Mentoring and guiding junior research scientists.
- Staying abreast of the latest advancements in AI and computer vision.
- Contributing to the intellectual property and strategic direction of the company.
Principal AI Research Scientist - Computer Vision
Posted 20 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in computer vision, including object detection, image segmentation, facial recognition, and video analysis.
- Develop and implement state-of-the-art deep learning models and algorithms.
- Design and execute experiments to validate research hypotheses.
- Publish findings in top-tier AI/ML conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Mentor junior researchers and engineers, fostering a culture of scientific rigor.
- Stay abreast of the latest advancements in computer vision and machine learning.
- Contribute to the strategic direction of AI research within the organization.
- Explore novel applications of computer vision across various domains.
- Ph.D. in Computer Science, Electrical Engineering, or a related field, with a specialization in Computer Vision.
- 10+ years of post-doctoral or industry research experience in computer vision.
- Exceptional track record of publications in leading AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++.
- Strong understanding of image processing, pattern recognition, and machine learning theory.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, able to articulate complex technical concepts clearly.
- Proven ability to lead research initiatives and mentor teams.
Principal AI Research Scientist - Computer Vision
Posted 20 days ago
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Job Description
Key Responsibilities:
- Conceptualize, design, and implement state-of-the-art computer vision models and algorithms.
- Conduct advanced research in areas such as object detection, image segmentation, facial recognition, and 3D vision.
- Develop and refine deep learning architectures and training methodologies.
- Lead research projects from conception through to prototype development and deployment.
- Collaborate with software engineers and product managers to integrate research findings into products.
- Publish research findings in top-tier AI conferences and journals.
- Mentor and guide junior researchers and engineers within the AI team.
- Stay at the cutting edge of AI and computer vision research, identifying emerging trends and opportunities.
- Contribute to the strategic direction of the AI research roadmap.
- Evaluate and benchmark new AI technologies and methodologies.
The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, or a related field with a strong specialization in Computer Vision. A minimum of 10 years of relevant research experience, with a significant publication record in leading AI venues, is essential. Expertise in Python, TensorFlow, PyTorch, and other relevant AI frameworks is required. Demonstrated experience leading complex research projects and a strong understanding of machine learning principles are critical. Exceptional problem-solving, analytical, and communication skills are vital for collaborating effectively with a distributed team and articulating complex technical concepts. This is a unique opportunity to shape the future of AI in a challenging and rewarding fully remote role.
Principal AI Research Scientist - Computer Vision
Posted 20 days ago
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Job Description
Responsibilities:
- Lead research initiatives in computer vision, including object detection, segmentation, recognition, and tracking.
- Develop and prototype state-of-the-art machine learning and deep learning models for complex visual data.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Mentor junior researchers and contribute to the team's intellectual property development.
- Stay abreast of the latest advancements in AI, computer vision, and related fields.
- Design and conduct rigorous experiments to validate research hypotheses.
- Analyze large-scale datasets to extract meaningful insights and train sophisticated models.
- Contribute to the strategic direction of AI research within the organization.
- Present research findings and technical concepts to both technical and non-technical audiences.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field with a strong focus on computer vision.
- Extensive experience (8+ years post-Ph.D.) in AI research, with a significant emphasis on computer vision.
- Proven track record of groundbreaking research, evidenced by publications in premier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and associated libraries.
- Strong programming skills in Python and C++.
- Experience with large-scale data processing and distributed training environments.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Ability to work independently and lead research projects in a fully remote setting.
- Strong communication and collaboration skills.
- Demonstrated ability to innovate and drive research forward.
Principal AI Research Scientist - Computer Vision
Posted 10 days ago
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Principal AI Research Scientist - Computer Vision
Posted 9 days ago
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Job Description
Key responsibilities include designing and implementing state-of-the-art computer vision models, conducting rigorous experiments, and evaluating their performance against challenging benchmarks. You will mentor junior researchers, foster a collaborative research environment, and stay abreast of the latest academic and industry research in AI and computer vision. Collaboration with product development teams to translate research findings into practical, deployable solutions will be a significant aspect of this role. You will also be responsible for presenting research findings to technical and non-technical audiences, including internal teams, at conferences, and through published papers.
The ideal candidate will possess a Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a strong focus on Computer Vision. A minimum of 8-10 years of post-doctoral research experience in AI and computer vision, with a substantial publication record in top-tier conferences (e.g., CVPR, ICCV, ECCV) and journals, is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is required. Experience with large-scale datasets and distributed training environments is highly desirable. Exceptional analytical, problem-solving, and critical thinking skills are a must. This remote position offers the chance to work with a globally distributed team of leading AI experts and shape the future of intelligent vision systems.
Principal AI Research Scientist - Computer Vision
Posted 15 days ago
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Principal AI Research Scientist - Computer Vision
Posted 16 days ago
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Key Responsibilities:
- Lead research projects in computer vision, including deep learning for image and video analysis.
- Develop and implement novel algorithms and models for tasks such as object detection, segmentation, tracking, and scene understanding.
- Conduct rigorous experimentation, analyze results, and contribute to high-impact publications in top-tier AI conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision.
- Design and conduct experiments to evaluate the performance and scalability of AI models.
- Contribute to the intellectual property portfolio of the organization through patents and publications.
- Present research findings internally and externally to technical and non-technical audiences.
- Drive innovation and identify new research directions.
Qualifications:
- Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a specialization in Computer Vision.
- Minimum of 6 years of post-doctoral research experience or equivalent industry research experience.
- A strong publication record in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras.
- Proficiency in programming languages like Python and C++.
- Proven ability to design, implement, and evaluate complex machine learning models.
- Excellent understanding of linear algebra, probability, and statistical modeling.
- Strong analytical, problem-solving, and critical thinking skills.
- Ability to work independently and lead research efforts in a remote setting.
- Exceptional communication and collaboration skills.
- Must be based in Kenya and authorized to work remotely.
Principal AI Research Scientist - Computer Vision
Posted 6 days ago
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Job Description
Responsibilities:
- Lead research initiatives in computer vision and deep learning.
- Design, implement, and evaluate novel AI models and algorithms.
- Publish research findings in leading AI conferences and journals.
- Mentor and guide junior research scientists and engineers.
- Collaborate with cross-functional teams to integrate research into products.
- Identify and explore new research directions and opportunities.
- Develop and maintain high-quality, well-documented code.
- Contribute to the company's intellectual property portfolio.
- Stay abreast of the latest advancements in AI and computer vision.
- Drive innovation and set technical direction for AI projects.
- Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on Computer Vision.
- Proven track record of significant publications in top AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Deep expertise in deep learning, CNNs, transformers, and various computer vision tasks.
- Strong programming skills in Python and experience with frameworks like TensorFlow or PyTorch.
- Experience with large-scale datasets and distributed computing/training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to conduct independent research and lead complex projects.
- Strong communication and collaboration skills for remote teamwork.
- Experience mentoring junior researchers is a plus.
- Demonstrated ability to translate research into practical applications.