2 Graduate Research Assistant AI Machine Learning jobs in whatjobs
Graduate Research Assistant - AI & Machine Learning
Posted 20 days ago
Job Viewed
Job Description
Our client is offering an exceptional opportunity for enthusiastic and bright Graduate Research Assistants to join their cutting-edge Artificial Intelligence and Machine Learning division, operating entirely remotely. This internship is designed for ambitious students or recent graduates looking to gain hands-on experience in a fast-paced, innovative research environment. You will work alongside leading researchers and engineers, contributing to the development and implementation of novel AI algorithms and machine learning models. Your responsibilities will include data collection, preprocessing, and analysis; assisting in the design and execution of experiments; developing and testing code for AI models; and documenting research findings. The ideal candidate will have a strong academic background in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, with a foundational understanding of machine learning concepts, algorithms, and programming languages such as Python. We are looking for individuals with excellent analytical and problem-solving skills, a keen attention to detail, and a passion for innovation. The ability to work independently, manage tasks effectively, and collaborate with a remote team is essential. This role provides invaluable exposure to real-world AI applications and the opportunity to contribute to significant research projects. Join our client and be part of the team shaping the future of artificial intelligence from the convenience of your chosen location.
Responsibilities:
Responsibilities:
- Assist in the research and development of Artificial Intelligence and Machine Learning algorithms.
- Collect, clean, and preprocess large datasets for model training.
- Develop, test, and debug code for machine learning models using Python.
- Conduct experiments to evaluate the performance of AI models.
- Document research procedures, methodologies, and findings.
- Collaborate with senior researchers and engineers on ongoing projects.
- Stay updated on the latest advancements in AI and Machine Learning research.
- Present research findings to the team in a clear and concise manner.
- Contribute to the development of technical reports and publications.
- Support the team in various research-related tasks as needed.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field.
- Solid understanding of machine learning concepts, algorithms (e.g., supervised, unsupervised learning), and their applications.
- Proficiency in Python programming and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
- Experience with data manipulation and analysis tools.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
- Eagerness to learn and contribute to a research-oriented team.
- Previous research or project experience in AI/ML is a plus.
This advertiser has chosen not to accept applicants from your region.
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Graduate Research Assistant - AI & Machine Learning
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a motivated and intellectually curious Graduate Research Assistant to contribute to cutting-edge research in Artificial Intelligence and Machine Learning. This is a fully remote internship, offering a unique opportunity to work alongside leading researchers and gain hands-on experience in a dynamic field. You will be involved in various research activities, including data collection, experimental design, model development, and performance analysis. The ideal candidate will have a strong academic background in Computer Science, Data Science, Mathematics, or a related quantitative field, with a keen interest in AI/ML concepts. Proficiency in programming languages such as Python, along with experience in ML libraries like TensorFlow or PyTorch, is essential. This remote role requires excellent analytical skills, strong problem-solving abilities, and the capacity for independent learning and self-directed work. You will collaborate with a global research team, contribute to research papers, and present findings in virtual meetings. Key responsibilities include assisting in literature reviews, implementing algorithms, running simulations, analyzing results, and documenting research progress. The ability to critically evaluate research methodologies and contribute innovative ideas is highly valued. Join our client's research initiative and gain invaluable experience in the rapidly evolving world of AI and Machine Learning, all within a flexible remote setting.
Responsibilities:
Responsibilities:
- Assist in designing and conducting experiments related to AI and Machine Learning.
- Collect, clean, and preprocess large datasets for research purposes.
- Implement and test machine learning algorithms using programming languages like Python.
- Utilize ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Analyze experimental results and interpret data to draw meaningful conclusions.
- Contribute to the development of research papers and technical reports.
- Present research findings in virtual team meetings and seminars.
- Collaborate with senior researchers on ongoing projects.
- Stay updated on the latest advancements and research in AI/ML.
- Document research methodologies, code, and findings thoroughly.
- Currently pursuing or recently completed a Master's or PhD degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
- Strong academic record with coursework in AI, Machine Learning, statistics, and algorithms.
- Proficiency in Python programming.
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent analytical and problem-solving skills.
- Ability to work independently and manage research tasks remotely.
- Strong written and verbal communication skills for research documentation and team collaboration.
- Demonstrated interest in AI and Machine Learning research.
This advertiser has chosen not to accept applicants from your region.
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