29 AI Research Scientist Machine Learning jobs in whatjobs
AI Research Scientist - Machine Learning
Posted 19 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence
- Develop, implement, and optimize novel ML algorithms and deep learning models
- Analyze large and complex datasets to extract meaningful insights and drive model performance
- Design and execute experiments to validate research hypotheses
- Collaborate with cross-functional teams to integrate AI solutions into products and services
- Publish research findings in top-tier conferences and journals
- Develop and maintain robust, scalable, and efficient AI systems
- Stay abreast of the latest advancements in AI/ML research and industry trends
- Contribute to intellectual property development, including patents and white papers
- Mentor junior researchers and interns
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
- Minimum of 5 years of research experience in machine learning or AI
- Strong theoretical foundation in statistical modeling, deep learning, and reinforcement learning
- Proficiency in programming languages such as Python, Java, or C++
- Extensive experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras)
- Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP)
- Proven track record of publications in leading AI conferences and journals
- Excellent analytical, problem-solving, and critical thinking skills
- Strong communication and presentation skills, with the ability to explain complex concepts clearly
- Ability to work both independently and collaboratively in a team-oriented environment
AI Research Scientist - Machine Learning
Posted 19 days ago
Job Viewed
Job Description
AI Research Scientist - Machine Learning
Posted 19 days ago
Job Viewed
Job Description
AI Research Scientist - Machine Learning
Posted 19 days ago
Job Viewed
Job Description
AI Research Scientist - Machine Learning
Posted 19 days ago
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Job Description
AI Research Scientist - Machine Learning
Posted 18 days ago
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Job Description
AI Research Scientist - Machine Learning
Posted 19 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and related AI fields.
- Design, develop, and implement novel algorithms and models for various applications.
- Experiment with and evaluate AI models using large datasets.
- Collaborate with engineering teams to deploy and integrate AI solutions into products.
- Stay current with the latest advancements in AI research and industry trends.
- Publish research findings in leading academic conferences and journals.
- Contribute to the intellectual property and patent applications.
- Mentor junior researchers and engineers in AI/ML best practices.
- Present research findings to technical and non-technical audiences.
- Contribute to defining the AI research roadmap and strategy.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Demonstrated track record of research in machine learning and deep learning, with publications in top venues.
- Strong theoretical understanding of ML algorithms, statistical modeling, and optimization techniques.
- Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting complex ideas.
- Ability to work independently and collaboratively in a remote research environment.
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AI Research Scientist - Machine Learning
Posted 11 days ago
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AI Research Scientist - Machine Learning
Posted 12 days ago
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Job Description
Responsibilities:
- Conduct advanced research in machine learning and artificial intelligence.
- Develop and implement novel machine learning algorithms and models.
- Design and execute experiments to validate research hypotheses.
- Analyze large datasets to extract insights and inform model development.
- Stay current with the latest advancements in AI and ML research.
- Collaborate with research scientists and engineers in a remote setting.
- Publish research findings in leading academic venues.
- Translate research concepts into practical AI solutions.
- Contribute to the intellectual property and patent filings.
- Mentor junior researchers and contribute to team knowledge sharing.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of research in machine learning (publications, contributions).
- Strong theoretical understanding of ML algorithms, deep learning, and statistics.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for remote collaboration.
- Ability to work independently and manage research projects effectively.
- Experience with cloud platforms (AWS, Azure, GCP) for ML is a plus.
AI Research Scientist - Machine Learning
Posted 13 days ago
Job Viewed
Job Description
- Conducting cutting-edge research in machine learning and artificial intelligence.
- Developing and implementing novel ML algorithms and deep learning architectures.
- Experimenting with various ML frameworks (e.g., TensorFlow, PyTorch) and tools.
- Analyzing and processing large, complex datasets to extract meaningful insights.
- Collaborating with cross-functional teams to define research objectives and project goals.
- Publishing research findings in top-tier academic conferences and journals.
- Contributing to the development of intellectual property and patents.
- Staying current with the latest advancements in AI and ML research.
- Mentoring junior researchers and contributing to team knowledge sharing.
- Presenting research results to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research contributions, publications, and conference presentations.
- Extensive experience with machine learning techniques, including supervised, unsupervised, and reinforcement learning.
- Strong programming skills in Python, and proficiency with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies and distributed computing frameworks is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage research projects effectively in a remote environment.
- Strong written and verbal communication skills for clear documentation and presentation of complex ideas.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) is beneficial.
- A genuine passion for advancing the field of artificial intelligence.