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Salary
$78k – $208k per year (Estimated)
Location
In office (Singapore)
Seniority
Middle
Employment
Full-Time
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Headquartered in Singapore, Nanyang Technological University is a premier public research university recognized globally for its excellence in science, engineering, business, and medicine. The institution features state-of-the-art research facilities and interdisciplinary programs dedicated to driving technological innovation, artificial intelligence, and sustainability. Consistently ranked among the world's top academic institutions, it nurtures future leaders and fosters impactful collaborative research across global industries.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity

ANGEL is looking for a motivated Research Engineer to develop PrimeNet.

Key Responsibilities:

  • Conducting cutting-edge research to develop new algorithms

  • Exploring existing literature and staying up to date with advancements in the field

  • Designing experiments to test hypotheses and validate models

  • Translating research concepts into working prototypes

  • Developing software, algorithms, or hardware systems for real-world applications

  • Writing clean, efficient, and scalable Python code

  • Collecting, preprocessing, and analyzing large datasets

Job Requirements:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

  • Demonstrated experience in natural language processing, machine learning, and deep learning.

  • Familiarity with deep learning frameworks like TensorFlow or PyTorch.

  • Ability to analyze complex problems, identify patterns, and derive meaningful insights from data.

  • Proficiency in Python for implementing NLP and Generative AI algorithms.

  • Understanding of NLP concepts, machine learning algorithms, and their applications in text processing and generation.

  • Capacity to address research challenges creatively and develop innovative solutions.

  • Effective written and verbal communication skills for documenting research findings and presenting them to diverse audiences.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU
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