42dot

About 42dot

Revolutionizing urban transportation with UMOS

🏢 Tech👥 51-250📅 Founded 2019📍 Seoul, Korea, South

Key Highlights

  • Developing the Urban Mobility Operating System (UMOS)
  • Based in Seoul, South Korea, with a team of 51-250
  • Focused on transitioning to autonomous transportation solutions
  • Aims to enhance urban mobility and reduce congestion

42dot is a technology company based in Seoul, South Korea, focused on transforming urban transportation with its Urban Mobility Operating System (UMOS). This cloud-based platform aims to streamline mobility services and facilitate the transition to autonomous vehicles. With a growing team of 51-250 ...

🎁 Benefits

Employees enjoy competitive salaries, stock options, flexible working hours, and a generous PTO policy. The company also offers remote work options an...

🌟 Culture

42dot fosters a culture of innovation and agility, encouraging employees to contribute ideas that drive the future of transportation. The company valu...

Overview

42dot is hiring a Senior Physical AI Engineer to develop advanced machine learning models for autonomous driving. You'll work with cutting-edge techniques in motion planning and collaborate with cross-functional teams. This role requires a strong background in machine learning and experience in autonomous systems.

Job Description

Who you are

You have a Master's or Ph.D. in a relevant field, with a strong foundation in machine learning and its applications in autonomous driving. Your experience includes leading the design and development of advanced machine learning models, particularly in perception, decision-making, and control for autonomous systems. You are well-versed in the latest trends and research in machine learning, and you bring innovative approaches to your work.

You have a proven track record of driving end-to-end machine learning pipeline development, from data collection and preprocessing to model training, optimization, and deployment. Your expertise in deep learning techniques, including reinforcement learning, imitation learning, and self-supervised learning, allows you to enhance the performance of autonomous driving systems effectively. You are also skilled in optimizing model performance in real-world driving conditions, ensuring seamless integration with vehicle software.

As a mentor, you guide junior engineers in best practices for machine learning development, fostering a collaborative and innovative team environment. You thrive in cross-functional teams, working closely with software, hardware, and vehicle control teams to align machine learning systems with overall vehicle architecture.

What you'll do

In this role, you will lead the design and development of state-of-the-art motion planning algorithms that are critical for the safety and reliability of autonomous driving systems. You will create advanced prediction algorithms that analyze vast datasets of driving patterns, enabling smooth and natural vehicle control. Your work will directly contribute to shaping the future of autonomous driving technologies.

You will drive the end-to-end development of machine learning pipelines, ensuring that data collection, preprocessing, model training, and deployment are executed efficiently. Your application of deep learning techniques will be crucial in improving the performance of autonomous driving systems, and you will be responsible for optimizing these models to perform well in real-world scenarios.

Collaboration is key in this role, as you will work with cross-functional teams to ensure that machine learning systems are integrated effectively with the vehicle's overall architecture. You will also stay updated on the latest trends in machine learning and autonomous driving, bringing innovative ideas to the team.

What we offer

At 42dot, we are committed to fostering an inclusive environment where diversity is celebrated. We offer competitive compensation and opportunities for professional growth. You will be part of a dynamic team that is at the forefront of autonomous driving technology, working on projects that have a significant impact on the future of transportation. We encourage you to apply even if your experience doesn't match every requirement, as we value curiosity and a growth mindset.

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