Senior Machine Learning Engineer

MOTIONAL SINGAPORE PTE. LIMITED; Pasir Panjang; On-site; MYR 70,000 - 120,000; Full time

Job summary

A fast-growing technology company in Malaysia is seeking engineers for their Perception team to advance autonomous driving technology. The role involves developing and deploying machine learning models, optimizing processes, and collaborating with cross-functional teams. Ideal candidates have a degree in a relevant field, experience in deep learning, and strong programming skills in C++. Opportunity for growth within an innovative environment.

Qualifications

• Bachelor’s Degree, Masters or Ph.D. in a relevant field or equivalent industry experience.
• 3+ years of experience with deep learning frameworks.
• Strong programming skills in C++, TensorRT, and/or CUDA.

Responsibilities

• Participate in the machine learning development cycle, including preprocessing and model training.
• Deploy perception model on edge devices optimizing for performance.
• Collaborate with teams to implement scalable solutions.

Skills

C++

Python

Deep Learning (Pytorch)

Education

Bachelor’s Degree in Machine Learning, Computer Science, or related field

Tools

TensorRT

CUDA

Job description

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What you’ll be doing:

• Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment.
• Productionize and deploy our large perception model on edge devices with optimization techniques in mind (e.g. pruning, quantization)
• Optimize training with large data and distributed machines
• Collaborate with cross-functional teams to implement scalable solutions and improvements
• Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.

What We’re Looking for:

• Bachelor’s Degree. Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• 3+ years of experience with deep learning frameworks such as Pytorch
• Strong programming skills in C++, TensorRT, and/or CUDA programming
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods

Bonus Points:

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry