Intern, Machine Learning Engineer

{"@context":"https://schema.org","@type":"JobPosting","title":"Intern, Machine Learning Engineer","description":"\u003Cp\u003E\u003Cstrong\u003EAbout Grab and Our Workplace\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EGrab is Southeast Asia\u0027s leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we\u0027ve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EGet to Know the Team\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EAt the AI Automation Team, we aim to stay ahead by building comprehensive automated ML/AI solutions to solve complex challenges in Grab\u0027s marketplace. Our team focuses on areas like experiments, embeddings, recommendations, and large-scale marketplace optimizations. We\u0027re excited to welcome machine learning engineers who are passionate about advancing our mission by designing and refining ML and experiment platforms.\u003C/p\u003E\u003Cp\u003EThis is a paid internship role. You will report to our Senior Machine Learning Engineering Manager and be based onsite at our office in Petaling Jaya, Selangor.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EGet to Know the Role\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EThis is an applied research role aimed at developing foundation model solutions for Grab. Responsibilities include proposing and implementing efficient foundation model architectures, scalable data and model pipelines. You have a good exposure to modern machine learning and foundation model techniques, including pretraining, multimodality and finetuning. You should also have substantial exposure in developing scalable machine learning solutions for complex problems and an understanding of the software development lifecycle and engineering practices.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe Critical Tasks You Will Perform\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EYou will design and implement efficient training pipelines for foundation models and multimodal models.\u003C/li\u003E\u003Cli\u003EYou will develop model architectures for specific business use cases.\u003C/li\u003E\u003Cli\u003EYou will create model compression techniques (quantization, pruning, distillation).\u003C/li\u003E\u003Cli\u003EYou will build evaluation frameworks for model performance and quality assessment.\u003C/li\u003E\u003Cli\u003EYou will collaborate with crossfunctional teams to understand their requirements and integrate foundation models into applications.\u003C/li\u003E\u003Cli\u003EYou will participate in code and design reviews with peers to uphold high-standard engineering practices.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EWhat Essential Skills You Will Need\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EYou can start from May 2026 onwards with a minimum duration of 3 months\u003C/li\u003E\u003Cli\u003EYour degree in Statistics, Mathematics, Computer Science, or a related field will support your technical insights needed for this role.\u003C/li\u003E\u003Cli\u003EYou have interest in machine learning, with focus on deep learning and transformer architectures.\u003C/li\u003E\u003Cli\u003EYou have good theoretical knowledge of recent machine learning developments, including foundational models, transformers, and data-centric AI.\u003C/li\u003E\u003Cli\u003EYou have interest in learning to apply machine learning architectures to specific problems beyond mere fine-tuning, which are crucial for the role\u0027s responsibilities.\u003C/li\u003E\u003Cli\u003EYou have exposure in programming skills like Python, PyTorch or TensorFlow in training large-scale models.\u003C/li\u003E\u003Cli\u003EYou have understanding of engineering practices and design patterns, with experience writing readable, maintainable, and testable code.\u003C/li\u003E\u003Cli\u003EYou have good exposure in ML deployment platforms and MLOps.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u0026#xa0;\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003ELife at Grab\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe care about your well-being at Grab, here are some of the global benefits we offer:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EWe have your back with \u003Cstrong\u003ETerm Life Insurance \u003C/strong\u003Eand comprehensive \u003Cstrong\u003EMedical Insurance.\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EWith \u003Cstrong\u003EGrabFlex, \u003C/strong\u003Ecreate a benefits package that suits your needs and aspirations.\u003C/li\u003E\u003Cli\u003ECelebrate moments that matter in life with loved ones through \u003Cstrong\u003EParental\u003C/strong\u003E and \u003Cstrong\u003EBirthday leave\u003C/strong\u003E, and give back to your communities through \u003Cstrong\u003ELove-all-Serve-all (LASA)\u003C/strong\u003E volunteering leave\u003C/li\u003E\u003Cli\u003EWe have a confidential \u003Cstrong\u003EGrabber Assistance Programme\u003C/strong\u003E to guide and uplift you and your loved ones through life\u0027s challenges.\u003C/li\u003E\u003Cli\u003EBalancing personal commitments and life\u0027s demands are made easier with our FlexWork arrangements such as differentiated hours\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EWhat We Stand For At Grab\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe 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, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.\u003C/p\u003E","identifier":"REF5243D","mainEntityOfPage":"https://www.grab.careers/en/jobs/744000125022409/intern-machine-learning-engineer/","url":"https://www.grab.careers/en/jobs/744000125022409/intern-machine-learning-engineer/","datePosted":"2026-05-07","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Grab","url":"https://www.grab.com/sg/","logo":"https://www.grab.careers/images/logo.svg"},"industry":"Internship","jobLocation":{"@type":"Place","name":"Petaling Jaya","address":{"@type":"PostalAddress","name":"Petaling Jaya","addressCountry":"Malaysia","addressLocality":"Petaling Jaya","streetAddress":"First Avenue"}}}