About this role
You will lead the development of autonomous marketplace systems by designing end-to-end reinforcement learning pipelines and fine-tuning large language models. You will also collaborate with engineering teams to integrate these models into real-time production environments to optimize pricing, dispatching, and supply management.
The role requires a PhD in Computer Science, Operations Research, or a related field with at least 10 years of experience in research and production systems. Candidates must possess deep expertise in reinforcement learning, sequential modeling, and large language model fine-tuning at scale.
What they're looking for
Reinforcement LearningLarge Language ModelsPythonPyTorchTensorFlowDistributed systemsMachine LearningStochastic control
Frequently asked questions
What does a Senior Principal Machine Learning Engineer (Fulfilment) at Grab do?
You will lead the development of autonomous marketplace systems by designing end-to-end reinforcement learning pipelines and fine-tuning large language models. You will also collaborate with engineering teams to integrate these models into real-time production environments to optimize pricing, dispa…
What skills does this Senior Principal Machine Learning Engineer (Fulfilment) role need?
Key skills for this role include Reinforcement Learning, Large Language Models, Python, PyTorch, TensorFlow, Distributed systems.
How much does a Senior Principal Machine Learning Engineer (Fulfilment) at Grab pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Senior Principal Machine Learning Engineer (Fulfilment) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Senior Principal Machine Learning Engineer (Fulfilment) role?
You can apply directly on Grab's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.