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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
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Automotive & Transportation
Hardware
Industrial & Manufacturing
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AI & Machine Learning
Aerospace

Senior, Expert

Mountain View, CA, USA

Category
Robotics & Autonomous Systems
Deep Learning
AI & Machine Learning
Required Skills
Python
Data Structures & Algorithms
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

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 subscription-based model for its platform, allowing clients to pay based on the services they use. The goal of 42dot.ai is to enhance operational efficiency, reduce costs, and improve the user experience for commuters and logistics providers, ultimately contributing to the development of smarter cities.

Company Stage

M&A

Total Funding

$193.6M

Headquarters

Seoul, South Korea

Founded

2019

Growth & Insights
Headcount

6 month growth

28%

1 year growth

28%

2 year growth

28%
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Simplify's Take

What believers are saying

  • Significant investments from Hyundai Motor Group, including $746.3 billion, indicate strong financial backing and growth potential.
  • Partnerships with industry leaders like Samsung Electronics for AI-powered SDV platforms enhance 42dot's technological capabilities and market reach.
  • The company's innovative UMOS platform offers substantial opportunities for improving urban transportation efficiency and reducing operational costs for clients.

What critics are saying

  • The highly competitive landscape of smart mobility and urban transportation could challenge 42dot's market position.
  • Integration of various transportation modes into a single platform may present technical and operational challenges.

What makes 42dot unique

  • 42dot's UMOS platform uniquely integrates multiple transportation modes, including cars and drones, into a single cohesive system, unlike competitors who may focus on individual modes.
  • The company's strong backing from Hyundai Motor Group and partnerships with tech giants like Samsung Electronics provide a significant competitive edge in the smart mobility sector.
  • 42dot's focus on urban transportation efficiency and smart logistics positions it as a key player in the rapidly growing urban mobility market.