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You will be updated with latest job alerts via emailGet to know the team
Youll be part of the SNP Data Science Search and Ranking team an established group dedicated to enhancing Grab Food and Mart Search and Ranking experiences. We focus on developing cuttingedge Deep Learning models to deliver user experiences. Our team comprises passionate Data Scientists with various expertise. If searching for Search and Ranking challenges excites you wed love to have you join us!
Get to know the job
As a Senior Data Scientist reporting to the Senior Data Science Manager youll create scalable machine learning algorithms. Your work will span important areas like Search Ranking Natural Language Processing and Large Language Models (LLMs) all contributing to Grabs growth.
The Critical Tasks You Will Perform:
You will process largescale datasets for model development and training.
You will design and implement efficient scalable machine learning and deep learning algorithms.
You will evaluate how algorithms perform within search systems and improve relevance and efficiency.
You will deploy models to production environments focusing on robustness and maintainability.
You will run A/B tests to assess model performance troubleshoot issues and pinpoint opportunities for improvement.
You will keep up with recent advances in Search Ranking NLP and LLMs.
You will work closely with backend engineers product managers analysts and UX designers.
Qualifications :
What Essential Skills You Will Need
You have a Bachelors degree in Computer Science Electrical/ Computer Engineering or a related technical field.
You have at least 2 years of experience applying deep learning in domains like Search Ranking NLP or LLMs.
You can develop and deploy largescale machine learning solutions.
You can translate requirements into technical solutions.
You have expertise in frameworks like TensorFlow or PyTorch.
You have software development abilities in Python
Additional Information :
Life at Grab
We care about your wellbeing at Grab here are some of the global benefits we offer:
What we stand for at Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality ethnicity religion age gender family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Fulltime
Full-time