About this role
Design and implement deep learning algorithms for search ranking and personalized recommendations to serve millions of users. Collaborate with engineering and product teams to deploy LLMs and optimize model performance through A/B testing and production monitoring.
Requires a Master's degree in a quantitative field and at least 3 years of experience deploying deep learning models for search or recommendations. Proficiency in Python, Scala, and deep learning frameworks like PyTorch or TensorFlow is essential.
What they're looking for
Deep LearningSearch RankingRecommendation SystemsLLM Fine-tuningPythonScalaPyTorchTensorFlow
Frequently asked questions
What does a Senior Data Scientist (Search and Recommendations) at Grab do?
Design and implement deep learning algorithms for search ranking and personalized recommendations to serve millions of users. Collaborate with engineering and product teams to deploy LLMs and optimize model performance through A/B testing and production monitoring. Requires a Master's degree in a qu…
What skills does this Senior Data Scientist (Search and Recommendations) role need?
Key skills for this role include Deep Learning, Search Ranking, Recommendation Systems, LLM Fine-tuning, Python, Scala.
How much does a Senior Data Scientist (Search and Recommendations) 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 Data Scientist (Search and Recommendations) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Senior Data Scientist (Search and Recommendations) 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.