Senior Machine Learning Engineer - ML Systems

Singapore, Singapore

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, AI & Machine LearningIndustries

Requirements

Candidates should possess a Master's or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They must have at least 3 years of experience with deep learning frameworks such as Pytorch, strong programming skills in C++, TensorRT, and/or CUDA programming, and fluency in Python, including standard scientific computing libraries and Python bindings development experience. A proven track record of developing and deploying perception systems for autonomous vehicles or robotics is also required.

Responsibilities

The Senior Machine Learning Engineer will participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment. They will produce and deploy large perception models on edge devices with optimization techniques, optimize training with large data and distributed machines, collaborate with cross-functional teams to implement scalable solutions and improvements, and troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.

Skills

Deep Learning Frameworks (PyTorch)

C++

TensorRT

CUDA

Python

Scientific Computing Libraries

Software Engineering Principles

Model Deployment

Edge Computing

Optimization Techniques (pruning, quantization)

Distributed Training

Troubleshooting and Debugging

Motional

Develops fully driverless robotaxis for urban transport

About Motional

Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.

Boston, MassachusettsHeadquarters

2020Year Founded

$5,000MTotal Funding

GROWTH_EQUITY_NON_VCCompany Stage

Robotics & Automation, Automotive & TransportationIndustries

1,001-5,000Employees

Benefits

401K: 401K with up to 7.5% match

time Off: Unlimited sick and vacation days

Transportation: Commuter and fitness benefits

Healthcare: 3 plan options to support diverse needs

IVF: Fertility assistance

Risks

Motional laid off 550 employees, indicating financial and operational challenges.

Aptiv reduced its stake in Motional, impacting operational capabilities.

Delays in autonomous vehicle deployment to 2026 could hinder market entry plans.

Differentiation

Motional offers a state-of-the-art Command Center for real-time robotaxi tracking.

The company focuses on all-electric, driverless robotaxis for urban environments.

Motional partners with ride-hailing services to integrate autonomous vehicles into their operations.

Upsides

Motional raised $475 million from Hyundai, indicating strong financial backing.

Partnerships with Uber and Shake Shack expand Motional's market reach in delivery services.

Increased investment in robotics highlights potential funding opportunities for Motional.

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