Staff Software Engineer

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

Job summary

A leading technology company in Singapore is seeking a Machine Learning Engineer to develop groundbreaking solutions for self-driving vehicles. You will work with an accomplished team to improve mapping and localization capabilities using advanced ML models. The ideal candidate should have a Master's or Ph.D. in Computer Science, at least 7 years of software engineering experience, and familiarity with deep learning frameworks like TensorFlow and PyTorch. This role offers exciting challenges in a fast-growing industry.

Qualifications

• 7+ years of professional software engineering experience.
• Experience with real-time object and scene element detection.
• Proven track record of designing and deploying ML solutions for autonomous vehicles.

Responsibilities

• Define and execute semantic scene mapping projects for self-driving vehicles.
• Develop ML models to detect the built environment using sensor data.
• Productionize and deploy solutions onto autonomous vehicle fleets.

Skills

Real-time object detection

Deep learning frameworks

Fluency in Python

Software engineering principles

Collaboration skills

ML publication experience

Education

Masters or Ph.D. in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

On our Map Semantics team, you will have the opportunity to work with world-class machine learning (ML) engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The team develops ML models that detect fixed, semantic objects in multi-modal data, enabling mapping and real-time localization. These objects include lane lines, stoplights, traffic signs and other structures in the built environment. We are looking for proven technical experts 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:

• Define and execute semantic scene mapping projects that improve our self-driving vehicles’ capability to efficiently map roadways and localize itself using autonomous vehicle and remote sensing data
• Develop machine learning models to reliably and efficiently detect the built environment using single or multi-modal sensor data including vision, LIDAR, and RADAR
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with localization, mapping and perception teams to improve your products’ on-road performance

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• 7+ years of professional software engineering experience.
• Experience with real-time object and scene element detection
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Extensive experience in metrics design and metrics driven technology development
• Excellent communication and interpersonal skills
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, WACV, AAAI, ICL, etc.)

Bonus Points:

• Familiarity with multi-view geometry, factor graph optimization / bundle adjustment
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Remote sensing experience including geospatial coordinate frames, object detection, RPC camera models
• Experience with change detection and updating maps based on newly collected data
• Experience with un/self/semi/weakly-supervised learning techniques
• Strong programming skills in C++