AI Research Scientist

3 days ago


Singapore Sociozk Full time

SocioZK is on the lookout for an innovative and driven AI Research Scientist to join our cutting-edge research team. In this role, you will engage in groundbreaking research and development in artificial intelligence, focusing on advanced machine learning techniques and algorithms. The ideal candidate will possess a strong academic background in AI, deep learning, and data science, with a passion for transforming theoretical research into practical applications.
Responsibilities
Research & Development:
Conduct original research in AI and machine learning, exploring novel algorithms and methodologies that advance the state-of-the-art in the field.
Algorithm Design:
Develop and implement advanced machine learning models and deep learning architectures to solve complex real-world problems.
Data Analysis:
Analyze large datasets to derive meaningful insights and identify trends, utilizing statistical methods and machine learning techniques.
Collaboration:
Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to translate research findings into practical applications and products.
Publication & Dissemination:
Publish research findings in reputable journals and conferences, contributing to the academic community and enhancing SocioZK’s reputation as a leader in AI.
Mentorship:
Provide guidance and mentorship to junior researchers and team members, fostering a collaborative and innovative research environment.
Innovation:
Stay abreast of the latest advancements in AI and machine learning, integrating new techniques and ideas into ongoing projects.
Required Qualifications
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent research experience.
Proven track record of research and publications in top-tier conferences or journals in AI and machine learning.
Strong programming skills in languages such as Python, R, or C++, with experience using machine learning libraries (e.g., TensorFlow, PyTorch, Keras).
Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling techniques.
Experience with data preprocessing, feature engineering, and model evaluation metrics.
Preferred Qualifications
Familiarity with natural language processing (NLP) or computer vision (CV) techniques.
Knowledge of reinforcement learning and generative models.
Experience working in a collaborative research environment or industry setting.
Full time
$30,000 - $90,000 per year
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