Senior Software Engineer, Machine Learning Tools

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

A leading company in autonomous vehicle technology seeks a Machine Learning Engineer to enhance their ML tools and infrastructure. The role involves developing and maintaining an automated pipeline for training and deploying machine learning models, collaborating with various teams to push the envelope in self-driving technology. Candidates should have a strong background in machine learning principles and substantial experience with relevant frameworks.

Qualifications

• 3+ 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 ML models pipeline.
• Participate in scalable ML infrastructure design using K8s and Ray.
• Deploy models to vehicles and assess performance.

Skills

Python

Machine Learning

Deep Learning

Software Engineering

Education

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

Tools

PyTorch

K8s

Ray

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.
• 3+ 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.