5 Senior AI Research Scientist Machine Learning jobs in whatjobs
Senior AI Research Scientist (Machine Learning)
Posted 19 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Develop and implement novel algorithms and models for AI applications.
- Design and execute experiments to validate research hypotheses and model performance.
- Analyze large datasets to extract insights and identify patterns relevant to AI research.
- Collaborate with other researchers and engineers to advance AI capabilities.
- Publish research findings in leading academic conferences and journals.
- Contribute to the development of AI-powered products and services.
- Stay abreast of the latest advancements and trends in the field of AI and machine learning.
- Mentor junior researchers and interns.
- Translate complex research concepts into practical implementations.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of impactful research and publications in top-tier AI/ML venues.
- Minimum of 7 years of research experience in AI and machine learning.
- Expertise in one or more areas: deep learning, reinforcement learning, natural language processing, computer vision, etc.
- Proficiency in programming languages such as Python.
- Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong understanding of mathematical and statistical foundations of machine learning.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for presenting research and collaborating with teams.
- Ability to work independently and manage research projects effectively in a remote setting.
- Experience with distributed computing frameworks (e.g., Spark) is a plus.
Senior AI Research Scientist - Machine Learning
Posted 19 days ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms to solve complex problems.
- Conduct rigorous research into new AI techniques and methodologies, staying abreast of the latest academic and industry advancements.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI models into existing and new products.
- Analyze large datasets to identify patterns, extract insights, and train machine learning models.
- Develop and maintain robust data pipelines for model training and evaluation.
- Evaluate model performance, identify areas for improvement, and implement optimization strategies.
- Document research findings, methodologies, and results thoroughly.
- Present research outcomes and technical solutions to both technical and non-technical audiences.
- Mentor junior researchers and engineers, fostering a culture of learning and innovation.
- Contribute to the strategic direction of AI initiatives within the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research and development in machine learning, with publications in top-tier conferences or journals being a significant advantage.
- Strong proficiency in programming languages such as Python, R, or similar.
- Extensive experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Deep understanding of various machine learning paradigms, including supervised, unsupervised, and reinforcement learning.
- Experience with deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- A proactive and self-driven approach to research and development.
Senior AI Research Scientist - Machine Learning
Posted 11 days ago
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Job Description
Key Responsibilities:
- Conduct fundamental and applied research in machine learning, deep learning, computer vision, natural language processing, or other AI domains.
- Design, develop, and implement novel AI algorithms and models.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning through literature review and conference participation.
- Publish research findings in leading academic venues and contribute to the scientific community.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific rigor.
- Identify new research opportunities and potential applications of AI to solve challenging problems.
- Develop and maintain high-quality code for research experiments and prototypes.
- Present research findings to both technical and non-technical audiences.
- Contribute to the strategic direction of the company's AI research roadmap.
Senior AI Research Scientist - Machine Learning
Posted 12 days ago
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Job Description
Key Responsibilities:
- Conduct state-of-the-art research in artificial intelligence and machine learning, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop, implement, and evaluate novel algorithms and models to solve complex problems.
- Design and execute experiments, analyze results, and document findings in technical reports and research papers.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research into practical applications.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Mentor junior researchers and contribute to the scientific growth of the team.
- Present research findings at leading conferences and in peer-reviewed journals.
- Contribute to the intellectual property portfolio through patent applications.
- Ensure the ethical development and deployment of AI technologies.
- Manage research projects, adhering to timelines and deliverables in a remote setting.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 5 years of post-doctoral or industry research experience in AI/ML.
- Proven track record of significant contributions to AI research, evidenced by publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
- Expertise in at least one of the following areas: deep learning frameworks (TensorFlow, PyTorch), NLP, computer vision, or reinforcement learning.
- Strong programming skills in Python and proficiency with scientific computing libraries (NumPy, SciPy, Pandas).
- Experience with cloud computing platforms (AWS, GCP, Azure) and distributed training is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
- Ability to work independently, manage research priorities, and collaborate effectively in a fully remote environment.
This is an unparalleled opportunity for a leading AI researcher to drive innovation and impact from a remote base. If you are passionate about pushing the boundaries of AI, we encourage you to apply.
Senior AI Research Scientist, Machine Learning
Posted 18 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Design, develop, and implement novel ML algorithms and models.
- Apply ML techniques to solve complex problems in areas such as computer vision, NLP, or reinforcement learning.
- Evaluate model performance, conduct rigorous experimentation, and interpret results.
- Collaborate with other researchers and engineers to translate research findings into practical applications.
- Stay abreast of the latest advancements in AI and ML research.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to building a strong research culture.
- Communicate research progress and outcomes to internal stakeholders and the wider community.
- Contribute to the strategic direction of AI research within the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- 5+ years of research experience in machine learning, with a strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Deep understanding of fundamental ML concepts, including supervised, unsupervised, and reinforcement learning.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages commonly used in AI research (Python preferred).
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex ideas clearly.
- Ability to work independently and as part of a collaborative research team.
- Experience in leading research projects or mentoring junior researchers.
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