5 Principal AI Research Scientist Deep Learning jobs in whatjobs
Principal AI Research Scientist - Deep Learning
Posted 20 days ago
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Principal AI Research Scientist - Deep Learning
Posted 10 days ago
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Responsibilities:
- Lead and conduct fundamental and applied research in deep learning, machine learning, and related AI fields.
- Develop and implement state-of-the-art algorithms and models for complex AI problems, including areas like computer vision, natural language processing, and reinforcement learning.
- Design and execute experiments to validate research hypotheses and measure performance.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Stay current with the latest advancements in AI and machine learning research.
- Identify new research opportunities and develop proposals for future projects.
- Contribute to the intellectual property portfolio through patents and publications.
- Foster a culture of innovation and scientific rigor.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on research experience in deep learning and machine learning, with a strong publication record.
- Expertise in at least one of the following areas: computer vision, natural language processing, reinforcement learning, generative models.
- Proficiency in programming languages such as Python and relevant AI frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed training.
- Strong understanding of mathematical concepts underpinning machine learning (linear algebra, calculus, probability, statistics).
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative environment.
- Strong communication and presentation skills, with the ability to convey complex technical ideas clearly.
- Demonstrated ability to work independently and drive research initiatives forward.
This fully remote position based out of **Nyeri, Nyeri, KE**, offers the chance to work on impactful projects that will define the future. Join a team that values intellectual curiosity and scientific excellence.
Principal AI Research Scientist - Deep Learning
Posted 10 days ago
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Responsibilities:
- Lead research initiatives in areas such as natural language processing, computer vision, reinforcement learning, and generative models.
- Design, implement, and evaluate state-of-the-art deep learning architectures and training methodologies.
- Conduct rigorous theoretical and empirical analysis to advance the understanding of AI and machine learning.
- Collaborate with software engineers to integrate research prototypes into production-ready systems.
- Publish findings in top-tier AI conferences and journals.
- Mentor junior researchers and engineers, fostering a collaborative and innovative research environment.
- Stay abreast of the latest advancements in AI, machine learning, and related fields, identifying opportunities for novel applications.
- Contribute to the intellectual property portfolio through patent applications and novel algorithm development.
- Engage with the broader AI research community, presenting work and participating in discussions.
- Drive the strategic direction of research projects, ensuring alignment with company objectives and technological trends.
- Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- 10+ years of progressive research experience in deep learning, with a strong publication record in leading conferences (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
- Expertise in one or more subfields of AI, such as NLP, computer vision, reinforcement learning, or recommender systems.
- Proficiency in deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with relevant scientific computing libraries.
- Proven ability to lead complex research projects from inception to completion.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated experience in mentoring and guiding junior researchers.
- Ability to thrive in a fully remote, fast-paced, and collaborative environment.
Principal AI Research Scientist - Deep Learning
Posted 20 days ago
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Principal AI Research Scientist (Deep Learning)
Posted 2 days ago
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Responsibilities:
- Lead research and development efforts in advanced deep learning techniques and applications.
- Design, implement, and evaluate novel neural network architectures and learning algorithms.
- Develop and train large-scale deep learning models for various tasks, including computer vision, natural language processing, and reinforcement learning.
- Collaborate with product teams to integrate research breakthroughs into production systems.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the intellectual property portfolio through patents and publications.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific rigor.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Present research findings and project progress to technical and non-technical audiences.
- Contribute to the strategic direction of the AI research roadmap.
- Ensure research methodologies are sound and results are reproducible.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.
- Minimum of 10 years of experience in AI research and development, with a significant focus on deep learning.
- Demonstrated track record of high-impact research, evidenced by publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, ICLR).
- Expert proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with relevant scientific libraries (NumPy, SciPy, Pandas).
- Experience with distributed training and large-scale model deployment.
- Deep understanding of mathematical foundations of machine learning, including linear algebra, calculus, and probability.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for effective remote teamwork.
- Ability to work independently, manage complex projects, and drive research initiatives.
- Experience in areas like generative models, graph neural networks, or reinforcement learning is a plus.
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