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A leading research institute in Singapore is seeking a candidate to implement deep learning algorithms and propose optimization solutions for training and inference processes. The ideal candidate will work collaboratively on problem analyses and design solutions while conducting evaluations to develop state-of-the-art foundational models. Strong analytical, communication skills, and proficiency in programming and Linux are essential. A background in machine learning or natural language processing is required, along with strong local language skills.
The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis design solutioning, conduct evaluation to build stat-of -the-art foundational models and develop use cases. Strong problem solving, coding and communications skills are expected.
Responsibilities include implementing deep learning algorithms, proposing novel solutions to optimize computational efficiency for training and inference of foundation models, working in a team on problem analysis, design solutioning, and conducting evaluations to build state-of-the-art foundational models and develop use cases.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.