21 Remote AI Research Scientist Machine Learning jobs in whatjobs
Remote AI Research Scientist - Machine Learning
Posted 20 days ago
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Job Description
Responsibilities:
- Conduct original research in machine learning, deep learning, and related AI fields.
- Develop and implement novel algorithms and models for AI applications.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large-scale datasets to extract meaningful insights and inform model development.
- Collaborate with other researchers and engineers on joint projects in a virtual setting.
- Publish research findings in leading AI conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the strategic direction of AI research and development efforts.
- Mentor junior researchers and contribute to building a strong research culture.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven track record of research publications in reputable AI conferences and journals.
- Deep expertise in machine learning algorithms, statistical modeling, and deep learning frameworks (TensorFlow, PyTorch).
- Strong programming skills, particularly in Python, with experience in relevant libraries (NumPy, SciPy, Pandas).
- Experience with big data technologies and cloud computing platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, comfortable working in a remote, distributed team.
- Ability to work independently, manage research projects, and drive innovation.
Remote AI Research Scientist - Machine Learning
Posted 20 days ago
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Job Description
Responsibilities:
- Conduct original research in machine learning, deep learning, and related areas of artificial intelligence.
- Develop, implement, and evaluate new ML models and algorithms for various applications.
- Design and execute rigorous experiments to validate research hypotheses and assess model performance.
- Analyze large datasets to extract meaningful insights and drive model improvements.
- Collaborate with other researchers and engineers to translate research prototypes into practical applications.
- Stay abreast of the latest advancements in AI and machine learning through literature review and participation in academic conferences.
- Publish research findings in leading AI journals and present work at international conferences.
- Contribute to the intellectual property of the organization through patent applications and research contributions.
- Mentor junior researchers and interns, fostering a collaborative and innovative research environment.
- Develop and maintain high-quality code in relevant programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch).
- Contribute to the strategic direction of the research group and identify new research opportunities.
- Ensure the ethical and responsible development of AI technologies.
Qualifications:
- Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Demonstrated expertise in machine learning, deep learning, statistical modeling, and data analysis.
- Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Proven track record of research publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR) or journals.
- Experience with various ML architectures (e.g., CNNs, RNNs, Transformers) and their applications.
- Excellent analytical and problem-solving skills, with a creative approach to research challenges.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts.
- Ability to work independently, manage research projects, and collaborate effectively in a remote, international team setting.
- Experience with large-scale data processing and distributed computing is a plus.
- Passion for cutting-edge AI research and a drive to make impactful contributions.
Remote AI Research Scientist - Machine Learning
Posted 20 days ago
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Job Description
- Conducting research and development in advanced machine learning and AI algorithms.
- Designing, implementing, and evaluating novel ML models and techniques.
- Exploring and applying deep learning, NLP, computer vision, and other AI subfields.
- Developing and optimizing algorithms for large-scale datasets.
- Prototyping and testing ML models, analyzing performance metrics.
- Collaborating with a global team of researchers and engineers on complex AI challenges.
- Staying abreast of the latest advancements in AI and ML research.
- Contributing to scientific publications, conference presentations, and internal documentation.
- Translating research findings into practical, deployable AI solutions.
- PhD or Master's degree in Computer Science, AI, Machine Learning, Statistics, or a closely related field.
- Proven experience in machine learning research and development.
- Strong theoretical understanding of ML algorithms, deep learning, and related mathematics.
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
- Experience with data analysis, feature engineering, and model evaluation.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong written and verbal communication skills, with a track record of publications or technical contributions.
- Ability to work independently and collaboratively in a remote research setting.
Remote AI Research Scientist - Machine Learning
Posted 15 days ago
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Job Description
Key Responsibilities:
- Conduct fundamental and applied research in artificial intelligence and machine learning.
- Develop, implement, and evaluate novel machine learning models and algorithms.
- Design and execute experiments to test hypotheses and validate research findings.
- Analyze large datasets to extract insights and inform model development.
- Publish research findings in top-tier conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning research.
- Mentor junior researchers and contribute to the team's knowledge base.
- Present research outcomes to technical and non-technical audiences.
- Contribute to the intellectual property portfolio through patents and publications.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research in AI/ML, demonstrated by publications in leading venues.
- Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of core ML concepts, including supervised, unsupervised, and reinforcement learning.
- Experience with deep learning architectures and techniques.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Ability to work independently and collaboratively in a remote research environment.
- Strong communication and presentation skills.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Domain expertise in areas like NLP, computer vision, or time-series analysis is beneficial.
Remote AI Research Scientist - Machine Learning
Posted 16 days ago
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Job Description
Remote AI Research Scientist - Machine Learning
Posted 16 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct theoretical and applied research in machine learning, deep learning, and related AI fields.
- Develop and implement new algorithms, models, and techniques to solve complex problems in areas such as computer vision, natural language processing, reinforcement learning, or predictive analytics.
- Design and execute experiments to evaluate the performance and validity of developed models.
- Analyze large datasets to extract insights and identify patterns relevant to AI research objectives.
- Collaborate with a global team of researchers and engineers to share findings, brainstorm ideas, and drive projects forward.
- Publish research findings in top-tier academic conferences and journals.
- Develop prototypes and proof-of-concepts for new AI technologies and applications.
- Stay current with the latest advancements in AI and machine learning research and identify opportunities for innovation.
- Contribute to the ethical development and deployment of AI systems.
- Mentor junior researchers and contribute to the team's technical growth.
Required Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- Demonstrated track record of research excellence, evidenced by publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or journals.
- Strong theoretical foundation and practical experience in machine learning algorithms, deep learning architectures, and statistical modeling.
- Proficiency in programming languages commonly used in AI research, such as Python, and expertise with ML frameworks like TensorFlow, PyTorch, or Keras.
- Experience with data manipulation and analysis tools.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences in a remote setting.
- Ability to work independently, manage research projects, and meet ambitious deadlines.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Passion for pushing the boundaries of AI and making significant contributions to the field.
This role offers a unique opportunity to engage in high-impact research within a collaborative, fully remote environment, working alongside world-class experts in artificial intelligence.
Remote AI Research Scientist - Machine Learning
Posted 14 days ago
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Job Description
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Remote AI Research Scientist - Machine Learning
Posted 15 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Develop and implement novel AI algorithms and models.
- Design and conduct experiments to validate research hypotheses.
- Analyze large datasets to extract insights and build predictive models.
- Collaborate with engineering teams to deploy AI solutions into production.
- Stay abreast of the latest advancements in AI and machine learning.
- Publish research findings in leading academic conferences and journals.
- Contribute to the intellectual property portfolio of the company.
- Mentor junior researchers and engineers.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Strong publication record in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Minimum of 5 years of research experience in machine learning or AI.
- Expertise in at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in programming languages such as Python or C++.
- Deep understanding of statistical modeling, deep learning, and related areas.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to conduct independent research and collaborate effectively remotely.
Remote AI Research Scientist - Machine Learning
Posted 14 days ago
Job Viewed
Job Description
Key responsibilities will include:
- Conducting fundamental and applied research in machine learning, deep learning, and related AI fields.
- Designing, developing, and implementing novel machine learning algorithms and models.
- Experimenting with and evaluating different AI architectures and techniques.
- Processing and analyzing large, complex datasets to extract meaningful insights and train models.
- Collaborating with cross-functional teams to integrate AI solutions into products and services.
- Writing high-quality, well-documented code for research and production environments (e.g., Python, TensorFlow, PyTorch).
- Publishing research findings in top-tier academic conferences and journals.
- Staying current with the latest advancements in AI and machine learning research.
- Mentoring junior researchers and contributing to the growth of the AI team.
- Developing prototypes and proofs-of-concept for new AI applications.
Remote AI Research Scientist - Machine Learning
Posted 11 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Develop and implement novel AI algorithms and models.
- Explore and evaluate new ML techniques and technologies.
- Design and execute experiments to test hypotheses and validate research findings.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Analyze large datasets to identify patterns and extract insights.
- Publish research findings in leading academic conferences and journals.
- Contribute to patent applications and intellectual property development.
- Stay abreast of the latest advancements in AI and ML research.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- Proven track record of research excellence, evidenced by publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) and journals.
- Deep expertise in one or more areas of machine learning (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proficiency in Python programming and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Strong mathematical and statistical foundation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research setting.
- Strong communication and presentation skills.
- Experience with distributed systems and large-scale data processing is a plus.
- Passion for innovation and advancing the field of AI.