Join Grab as an Intern, Machine Learning Engineer

Company Description
Embrace your future with Grab! At Grab, we operate under The Grab Way, our core mission and principles that include Heart, Hunger, Honour, and Humility, aimed at creating economic empowerment across Southeast Asia. This is a place where your work directly impacts lives and drives innovation.

Internship Availability

Ready to kick-start your career in July 2024? Grab is looking for dedicated students available for a 3 to 6-month internship. Please ensure to specify your available duration on your resume as this is crucial for your application.

Team Introduction

Meet the AIP Team at Grab – a pivotal group focussed on leveraging AI to enhance decision making and automation across the company. Our projects range from developing tools for Machine Learning and AI-driven Automation to handling Customer Behavioral Data and conducting experiments. Join a team passionate about the transformative power of AI!

Role Overview

We are on the hunt for passionate Machine Learning Engineer Interns who are eager to develop their skills in either core backend service engineering, full stack development, or big data processing. This role is not just about coding but also about leveraging your initiative to tackle real problems and contribute effectively to our solutions.

Day-to-Day Responsibilities

• Develop AutoML capabilities for adaptive experiments and general ML services.
• Create a library of generic surrogate models and acquisition functions.
• Construct evaluation and model selection loops.
• Develop generic tools for evaluation and visualizations.
• Build feedback loops to refine and improve systems.

Must-Have Qualifications

Are you the right fit? Check our must-have requirements:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering or a related field.
• Strong fundamentals in algorithms and data structures.
• Proficient in Python and familiar with an ML framework like TensorFlow or PyTorch.
• Experience with version control systems (VCS) like git, and understanding of the full software development lifecycle.
• Familiarity with big data frameworks such as Spark or Ray, and real-time event processing.

Nice-to-Have Skills

Beyond the essentials, here’s what could set you apart:

• Experience in building production machine learning systems.
• Experience with foundation models (e.g., Large Language Models).

Our Commitment

At Grab, we are committed to creating an inclusive work environment and recognize the unique challenges individuals may face. We actively work to address these issues as we strive for inclusion for all Grabbers.

Looking to make a significant impact from day one? Apply now to become a Machine Learning Engineer Intern at Grab and be at the forefront of AI innovation.