19 Principal Research Scientist AI Machine Learning jobs in whatjobs
Principal Research Scientist - AI & Machine Learning
Posted 19 days ago
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Principal Research Scientist - AI & Machine Learning
Posted 19 days ago
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Job Description
Responsibilities:
- Lead the conceptualization, design, and implementation of advanced AI and Machine Learning models for scientific research.
- Conduct in-depth research into novel algorithms, statistical methods, and deep learning architectures.
- Develop and validate predictive models using large and complex datasets.
- Collaborate with cross-functional research teams to define research objectives and translate scientific problems into solvable machine learning tasks.
- Design and execute rigorous experiments to evaluate model performance and identify areas for improvement.
- Publish research findings in leading scientific journals and present at international conferences.
- Mentor junior researchers and guide their technical development in AI/ML.
- Stay at the forefront of AI/ML advancements, exploring emerging trends and their potential applications in scientific discovery.
- Contribute to the intellectual property portfolio through invention and patent applications.
- Develop scalable and robust ML pipelines for training and deployment.
- Analyze and interpret complex data to derive meaningful insights and drive scientific progress.
- Ensure ethical considerations and potential biases are addressed in AI model development.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Physics, or a related quantitative field.
- Minimum of 10 years of hands-on research experience in AI and Machine Learning, with a strong publication record in top-tier venues.
- Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (Python).
- Proven experience in applying ML techniques to solve complex scientific problems.
- Strong theoretical understanding of machine learning algorithms, statistical modeling, and optimization techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
- Experience leading research projects and mentoring junior scientists.
- Familiarity with cloud computing platforms (AWS, GCP, Azure) and big data technologies is a plus.
- A passion for scientific discovery and pushing the boundaries of AI capabilities.
Principal Research Scientist - AI & Machine Learning
Posted 19 days ago
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Job Description
Key Responsibilities:
- Lead and direct cutting-edge research projects in AI and Machine Learning, focusing on areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
- Develop, test, and implement advanced ML algorithms and models.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with product teams to translate research outcomes into practical applications and product features.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific inquiry and rigor.
- Stay abreast of the latest advancements in AI/ML research and identify new research opportunities.
- Design and conduct experiments to validate hypotheses and evaluate model performance.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of novel approaches.
- Contribute to the intellectual property portfolio through patents and disclosures.
- Present research findings to technical and non-technical audiences.
- Engage in strategic planning for the research roadmap and future directions of AI development.
- Effectively manage research projects, including timelines, resources, and deliverables, balancing remote and on-site work as required.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- Minimum of 10 years of hands-on research experience in AI/ML, with a proven track record of significant contributions and publications.
- Deep theoretical understanding and practical experience with various ML algorithms, including deep neural networks, SVMs, and ensemble methods.
- Expertise in programming languages commonly used in AI research (e.g., Python, R, C++) and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) for large-scale ML model training.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
- Proven ability to lead research teams and manage complex R&D projects.
- Experience with data science tools and techniques for data cleaning, feature engineering, and analysis.
- Ability to work independently and collaboratively in a hybrid work environment.
- A genuine passion for scientific discovery and technological advancement.
Principal Research Scientist - AI & Machine Learning
Posted 19 days ago
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Job Description
Responsibilities include:
- Leading the research and development of advanced AI and Machine Learning models for scientific applications.
- Designing and conducting experiments, analyzing complex datasets, and interpreting results to drive scientific insights.
- Developing novel algorithms and methodologies in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Collaborating with domain experts to identify research opportunities and translate scientific problems into solvable AI/ML tasks.
- Publishing high-impact research in peer-reviewed journals and presenting findings at leading conferences.
- Mentoring junior researchers and contributing to the scientific community within the organization.
- Staying at the forefront of AI/ML research and development, identifying and evaluating new technologies and techniques.
- Developing prototypes and proofs-of-concept to demonstrate the feasibility of new research ideas.
- Contributing to intellectual property generation through patent applications.
- Ensuring the ethical and responsible application of AI technologies in research.
The ideal candidate will hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Physics, or a related quantitative field, with a minimum of 8-10 years of post-doctoral research experience. A strong publication record in reputable venues and a proven track record of leading impactful research projects are essential. Expertise in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn) and a deep understanding of statistical modeling, machine learning theory, and algorithm development are required. Experience with large-scale data processing and distributed computing frameworks is highly desirable. Excellent problem-solving, analytical, and critical thinking skills, along with outstanding communication and collaboration abilities, are necessary for this remote role. A genuine passion for scientific discovery and a drive to make a significant impact are key attributes we are looking for in our candidates.
Principal Research Scientist - AI/Machine Learning
Posted 19 days ago
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- Leading research initiatives in areas such as deep learning, reinforcement learning, natural language processing, computer vision, and generative models.
- Developing novel AI algorithms and machine learning techniques to solve complex scientific and engineering problems.
- Designing and implementing robust experimental methodologies to validate research hypotheses.
- Analyzing large datasets, interpreting results, and deriving actionable insights.
- Collaborating with engineering teams to prototype and deploy research prototypes into production systems.
- Publishing research findings in top-tier scientific conferences and journals.
- Mentoring and guiding junior research scientists and engineers.
- Contributing to intellectual property generation through patent filings.
- Presenting research to internal and external stakeholders, including academic and industry audiences.
- Staying abreast of the latest advancements in AI/ML and related fields.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- A minimum of 8 years of post-doctoral research experience in AI/ML, with a strong publication record.
- Expertise in one or more subfields of AI/ML, such as deep learning, reinforcement learning, NLP, or computer vision.
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Strong analytical, mathematical, and statistical skills.
- Proven ability to lead research projects and mentor team members.
- Excellent written and verbal communication skills for technical and non-technical audiences.
- Experience working effectively in a remote, collaborative research environment.
- Demonstrated ability to innovate and think critically.
This role provides a competitive salary, generous benefits, and the opportunity to make a significant contribution to the future of AI, all within a remote work structure.
Principal Research Scientist, AI & Machine Learning
Posted 19 days ago
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Job Description
Principal Research Scientist - AI & Machine Learning
Posted 19 days ago
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Job Description
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Principal Research Scientist - AI/Machine Learning
Posted 12 days ago
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Responsibilities:
- Lead cutting-edge research in AI and Machine Learning, defining new research frontiers.
- Design and conduct experiments to develop and validate novel AI algorithms and models.
- Publish research findings in leading AI conferences and journals.
- Develop and implement advanced machine learning and deep learning techniques.
- Collaborate with a global team of researchers and engineers on complex AI projects.
- Mentor and guide junior research scientists and engineers.
- Stay abreast of the latest advancements and trends in AI/ML research.
- Translate research breakthroughs into practical applications and product enhancements.
- Present research work to technical and non-technical audiences, including senior management.
- Contribute to the strategic direction of the company's AI research roadmap.
- Identify opportunities for collaboration with academic institutions and industry partners.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 10 years of experience in AI/ML research, with a significant portion in a leadership or principal role.
- Exceptional publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR) and journals.
- Deep theoretical and practical understanding of machine learning, deep learning, and related fields.
- Expertise in programming languages such as Python and proficiency with ML frameworks (e.g., TensorFlow, PyTorch).
- Proven ability to lead complex research projects from ideation to completion.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills, with the ability to convey complex ideas clearly.
- Experience mentoring junior researchers is essential.
- Demonstrated ability to work effectively in a remote, collaborative research setting.
Principal Research Scientist - AI & Machine Learning
Posted 13 days ago
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Principal Research Scientist - AI & Machine Learning
Posted 11 days ago
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Key responsibilities include designing and implementing advanced ML models, developing robust experimental frameworks, and critically evaluating research outcomes. You will collaborate closely with a global team of scientists, engineers, and domain experts, fostering a culture of innovation and knowledge sharing. The ability to mentor junior researchers and guide their technical development is essential. We are looking for an individual with a strong publication record, a history of successful grant applications or project leadership, and a passion for pushing the boundaries of AI. Experience with large-scale data analysis and high-performance computing environments is highly desirable. This is a remote-first position, requiring exceptional self-discipline, proactive communication, and the ability to thrive in a distributed team environment. You will play a crucial role in shaping the future of AI-driven scientific research, contributing to transformative breakthroughs. The **Nairobi, Nairobi, KE** location serves as the central point for this globally distributed team, but the role is entirely remote.