Senior Machine Learning Engineer, Reinforcement Learning

PLT Engineering; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer, where your expertise in developing innovative AI solutions will shape the future of a dynamic marketplace. You will design and implement cutting-edge reinforcement learning frameworks to optimize interactions and improve decision-making processes. This role offers the chance to impact millions of users while collaborating with a talented team dedicated to pushing the boundaries of technology. If you're passionate about driving innovation and eager to tackle complex challenges, this is the perfect opportunity for you.

Qualifications

• Experience in developing large-scale machine learning solutions.
• Strong understanding of reinforcement learning frameworks.

Responsibilities

• Design scalable reinforcement learning frameworks for marketplace optimization.
• Develop monitoring systems for performance assessment of ML agents.

Skills

Machine Learning

Reinforcement Learning

Optimization Techniques

Data Analysis

Python Programming

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Get to Know the Team

At Grab, we are dedicated to enhancing lives with our super-app, offering services such as deliveries, mobility, and financial solutions to millions across Southeast Asia. As a member of the AI Automation Team, you'll play a pivotal role in creating automated ML/AI solutions to address complex challenges within our marketplace. Our team focuses on advancing experiments, building embeddings, creating intelligent recommendations, and optimising large-scale marketplaces. We are in search of experienced machine learning engineers eager to drive innovation and refine our experimentation platforms.

Get to Know the Role

You'll be hands-on in developing large-scale machine learning, reinforcement learning, and optimization solutions. Your expertise will help create pioneering data-driven technologies, impacting millions of consumers, drivers, and merchants within Grab's marketplace. You will engage in troubleshooting and resolving issues as part of on-call rotations. You will report into Senior Machine Learning Engineering Manager and work onsite at Grab One North Singapore office.

The Critical Tasks You Will Perform

• You will design and develop scalable reinforcement learning frameworks to address personalised targeting and marketplace optimization issues using noisy real-world data.
• You will devise offline reinforcement learning strategies using historical data to improve decision-making processes.
• You will construct multi-agent systems aimed at optimising marketplace dynamics and interactions.
• You will implement safe exploration methods for online learning to ensure responsible policy shifts.
• You will craft evaluation frameworks for assessing reinforcement learning policies and their outcomes.
• You will develop monitoring systems to oversee the performance of deployed reinforcement learning agents.
• You will participate in code and design reviews, promoting high-standard engineering practices.