Full-Time

Machine Learning Engineer

End-to-End Driving

Confirmed live in the last 24 hours

42dot

42dot

201-500 employees

Integrated platform for urban transportation management

Data & Analytics
Automotive & Transportation
Government & Public Sector

Senior, Expert

Mountain View, CA, USA

Hybrid position requiring in-office presence.

Category
Robotics & Autonomous Systems
AI & Machine Learning
Required Skills
Python
Machine Learning
C/C++
Requirements
  • Minimum of 7 years of relevant experience
  • A master's/doctor's degree or higher, or equivalent experience in computer science, electronics, or related fields
  • Deep understanding and practical experience in learning self-driving systems and deep learning models
  • Deep understanding of vehicle dynamics models
  • Superior programming skills (C/C++, Python, etc.)
  • Mathematical reasoning ability related to probability
Responsibilities
  • Research and development of motion prediction algorithms for autonomous driving such as surrounding vehicles and pedestrians
  • Exploring predictive algorithms, prototyping, and validating
  • Modeling data-driven driving algorithms
  • Deploying models to autonomous driving systems by optimizing and improving the performance of algorithms
  • Work with Perception/Planning engineers to improve self-driving performance
  • Development of evaluation indicators and systems to evaluate developed algorithms
Desired Qualifications
  • Experience in research and development related to autonomous driving and robotics
  • ROS1/ROS2 experience
  • Experience deploying predictive models in real-world environments
  • Inference optimization experience (TensorRT, CUDA programming, etc.)
  • History of books/academic activities in related fields (CVPR, ICCV, ECCV, IROS, ICRA, etc.)

42dot.ai operates in the smart mobility and urban transportation sector, offering an integrated platform known as UMOS (Urban Mobility Operating System). This platform connects various modes of transportation, such as cars and drones, into a unified system, allowing for efficient management and optimization of urban transport. UMOS utilizes advanced technologies to provide services like transportation management, demand response, and smart logistics. The primary clients include city governments, transportation agencies, and private companies seeking to improve their mobility solutions. Unlike competitors, 42dot.ai focuses on a comprehensive integration of multiple transportation modes, enhancing operational efficiency and user experience. The company's goal is to transform urban mobility and contribute to the development of smart cities by providing a subscription-based service for its platform.

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

$123.9M

Headquarters

Seoul, South Korea

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Hyundai and Kia's $185 million investment boosts 42dot's talent acquisition and development.
  • The global MaaS market is projected to grow at a 25% CAGR until 2030.
  • 5G technology enhances connected vehicles, benefiting 42dot's integrated transportation systems.

What critics are saying

  • Tech giants like Google and Amazon expand in mobility services, threatening 42dot's market share.
  • Rapid advancements by companies like NVIDIA may outpace 42dot's autonomous driving development.
  • Regulatory changes in autonomous vehicles could increase compliance costs for 42dot.

What makes 42dot unique

  • 42dot's UMOS platform integrates multiple transportation modes into a single cohesive system.
  • The company partners with Samsung to develop an AI-powered software-defined vehicle platform.
  • 42dot focuses on smart city infrastructure, enhancing urban mobility through advanced technologies.

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