Software Engineer, Machine Learning Tools

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading company in autonomous vehicle technology is seeking a Machine Learning Engineer to enhance their in-house ML ecosystem. The role involves supporting the development of scalable ML infrastructure and deploying models for on-road applications, requiring expertise in Python and deep learning frameworks.

Qualifications

• 2+ years of hands-on experience with Python
• Familiarity with deep learning frameworks such as PyTorch
• Experience with distributed computing frameworks like K8s and Ray

Responsibilities

• Support the development and maintenance of an automated, distributed pipeline for ML models
• Participate in designing scalable ML infrastructure utilizing K8s and Ray
• Deploy models to vehicles and assess performance using relevant metrics

Skills

Python

Deep Learning

Software Engineering Principles

Machine Learning

Education

Bachelor's or Master's degree in Machine Learning, Computer Science, or a related field

Tools

K8s

Ray

PyTorch

Job description

The Machine Learning Tools (ML Tools) team is responsible for developing and maintaining an advanced in-house machine learning ecosystem designed to build, train, and deploy models. The team collaborates closely with downstream teams to innovate and advance cutting-edge deep learning techniques for novel on-road machine learning applications.

Motional's Machine Learning team has made significant contributions to the autonomous vehicle industry, including the development of nuPlan , nuScenes, PointPillars, and PointPainting.

Key Responsibilities:

• Support the development and maintenance of an automated, distributed pipeline for training, evaluating, and deploying machine learning models to vehicles.
• Participate in the design and development of scalable ML infrastructure utilizing K8s and Ray.
• Implement metrics infrastructure for model introspection and performance evaluation.
• Deploy models to vehicles and assess their performance using relevant metrics.
• Work closely with Machine Learning teams to enhance tools and processes throughout the ML development lifecycle.

Qualifications:

• Bachelor's or Master's degree in Machine Learning, Computer Science, or a related field, with relevant experience.
• 2+ years of hands-on experience with Python.
• Familiarity with deep learning frameworks such as PyTorch.
• Experience with distributed computing frameworks like K8s and Ray.
• Strong knowledge of software engineering principles.
• A passion for self-driving technology.

Highly Desired Experience:

• Proficiency with PyTorch.
• Experience in designing, training, and deploying neural networks.
• Solid understanding of K8s and Ray and using them in daily work.

Bonus Points:

• Background in autonomous vehicle development.

Additional Notes:

• No Large Language Model (LLM) experience is required.