4 Lead Research Scientist AI Ml jobs in whatjobs
Lead Research Scientist - AI/ML
Posted 20 days ago
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Job Description
Key Responsibilities:
- Lead the design and execution of cutting-edge AI/ML research projects.
- Develop novel algorithms and models for complex scientific problems.
- Mentor and guide a team of research scientists and engineers.
- Publish research findings in leading academic journals and conferences.
- Collaborate with internal and external partners to advance research initiatives.
- Stay current with the latest trends and breakthroughs in AI and machine learning.
- Contribute to grant proposals and secure research funding.
- Ensure the ethical and responsible development of AI technologies.
- Translate research outcomes into potential product or service innovations.
Qualifications:
- Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of leading successful research projects and publications.
- Deep expertise in machine learning algorithms, deep learning frameworks, and statistical modeling.
- Strong programming skills in Python and/or C++.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Excellent leadership, communication, and presentation skills.
- Ability to work independently and drive research initiatives in a remote setting.
Lead Research Scientist - AI/ML
Posted 12 days ago
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Job Description
Responsibilities:
- Lead and conduct advanced research in AI/ML domains.
- Develop and implement novel AI/ML algorithms and models.
- Design and execute experiments to validate research hypotheses.
- Collaborate with product teams to integrate AI/ML solutions.
- Mentor and guide junior research scientists and engineers.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest advancements in AI/ML research and industry trends.
- Contribute to the development of intellectual property and patents.
- Manage research project timelines and resources effectively.
- Present research findings to internal and external stakeholders.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- 7+ years of experience in AI/ML research and development.
- Proven track record of innovative research and publications.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills (e.g., Python, C++).
- Experience with various ML techniques (e.g., NLP, computer vision, reinforcement learning).
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong leadership, communication, and interpersonal skills.
- Ability to work independently and manage complex research projects in a remote environment.
Lead Research Scientist - AI/ML
Posted 13 days ago
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Job Description
Responsibilities:
- Lead and conduct high-impact research in AI/ML, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design, implement, and evaluate advanced machine learning models and algorithms.
- Develop research proposals and secure funding for new projects.
- Collaborate with cross-functional teams of scientists and engineers to translate research findings into practical applications.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Mentor and guide junior researchers, fostering a culture of innovation and scientific rigor.
- Stay at the forefront of AI/ML research, identifying emerging trends and opportunities.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Contribute to the strategic direction of the research department.
- Manage research project timelines and resources effectively.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A strong publication record in leading AI/ML conferences and journals.
- Extensive experience in designing and implementing complex AI/ML models.
- Proficiency in programming languages such as Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Demonstrated ability to lead and manage research projects and teams.
- Excellent communication, collaboration, and presentation skills.
- Ability to work autonomously and effectively in a remote, asynchronous environment.
- A strong theoretical foundation in mathematics and statistics.
- Experience with big data technologies is a plus.
This role is based in **Meru, Meru, KE**, but operates on a fully remote basis, allowing for global talent acquisition.
Lead Research Scientist - AI/ML
Posted 11 days ago
Job Viewed
Job Description
Responsibilities:
- Lead and conduct fundamental and applied research in Artificial Intelligence and Machine Learning.
- Develop novel algorithms and models for complex problems in areas like deep learning, NLP, or computer vision.
- Design and implement research experiments, analyze results, and draw conclusions.
- Publish research findings in leading academic conferences and journals.
- Collaborate with engineering teams to transition research prototypes into production systems.
- Mentor and guide junior researchers and data scientists.
- Stay abreast of the latest advancements in AI/ML research and identify new research opportunities.
- Present research findings to technical and non-technical audiences.
- Contribute to the strategic direction of the AI/ML research group.
- Manage research projects, timelines, and resources effectively.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- 5+ years of post-doctoral or industry research experience in AI/ML.
- Strong publication record in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages, particularly Python.
- Deep understanding of machine learning theory, algorithms, and best practices.
- Experience in leading research projects and mentoring junior team members.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills.
- Ability to work effectively in a collaborative, research-intensive environment.
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