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...

42dot

Machine Learning Engineer Senior

42dotPangyo - On-Site

Apply Now →

Overview

42dot is hiring a Senior ML Platform Engineer to build core data and ML training platforms for autonomous driving. You'll work with technologies like Python, Kubernetes, and AWS to enhance the ML model development lifecycle. This role requires a strong background in distributed systems and data platforms.

Job Description

Who you are

You have a Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field. You possess extensive experience in building scalable data platforms and have a deep understanding of machine learning workflows. Your expertise in Python and familiarity with cloud environments, particularly AWS, allows you to effectively contribute to the development of high-performance data serving SDKs for ML model training and evaluation.

You are skilled in working with distributed systems and have a proven track record of optimizing data processing pipelines. Your experience with Kubernetes and Docker enables you to bootstrap and maintain infrastructure for Data Platform components efficiently. You are also familiar with Apache Spark and TensorFlow, which are essential for handling large-scale datasets and enhancing the efficiency of the ML model development lifecycle.

What you'll do

In this role, you will set the technical strategy and oversee the development of a high-scale, reliable data platform to manage, visualize, and serve large-scale datasets for ML model training and validation. You will build a data lakehouse for autonomous driving scene datasets, including sensor data, calibration data, and annotation data. Your responsibilities will also include driving the development of the Autonomous Driving Data SDK, which encompasses scene data search, datasets preparation, and dataset loading.

You will dig into performance bottlenecks throughout the data processing pipelines, addressing issues related to data processing latency and data search latency. Collaborating with cross-functional teams, including ML algorithm, ML application, and Cloud Infra, you will ensure that the ML Platforms align with the overall Autonomous Driving System Architecture. Your role will be pivotal in enhancing the efficiency of the ML model development lifecycle, including training, evaluation, deployment, and monitoring in a cloud environment.

What we offer

At 42dot, you will be part of a cutting-edge team focused on autonomous driving technologies. We offer a collaborative work environment where innovation is encouraged, and your contributions will directly impact the future of autonomous driving. You will have opportunities for professional growth and development, working alongside experts in the field. We value diversity and inclusion and are committed to creating a workplace where everyone can thrive.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at 42dot.

Similar Jobs You Might Like

Based on your interests and this role

42dot

Ml Platform Engineer

42dot📍 Pangyo - On-Site

42dot is hiring an ML Platform Engineer to build core data and ML training platforms for autonomous driving algorithms. You'll work with technologies like Python, AWS, and TensorFlow to enhance the ML model development lifecycle. This position requires a minimum of 5 years of experience in a related field.

🏛️ On-SiteSenior
7 months ago
Roblox

Platform Engineer

Roblox📍 San Mateo - On-Site

Roblox is seeking a Senior/Principal Platform Engineer for their ML Platform team to build and enhance tools that empower developers. You'll work with APIs and backend engineering to support machine learning infrastructure. This role requires hands-on experience with ML and a strong background in platform development.

🏛️ On-SiteSenior
1d ago
Zoox

Machine Learning Engineer

Zoox📍 Foster City - On-Site

Zoox is hiring a Senior Machine Learning Engineer for their ML Platform team to enable innovations in machine learning and computer vision for autonomous driving. You'll work with various ML teams and tools to push the boundaries of AI in transportation.

🏛️ On-SiteSenior
6 months ago
Parafin

Software Engineering

Parafin📍 San Francisco - Hybrid

Parafin is seeking a Senior Software Engineer for their ML Platform to design and maintain scalable systems for machine learning applications. You'll work with Python and AWS, focusing on model experimentation and deployment. This role requires significant experience in software engineering and machine learning.

🏢 HybridSenior
1 month ago
Airwallex

Machine Learning Engineer

Airwallex📍 Singapore - On-Site

Airwallex is hiring a Senior ML Platform Engineer to develop and enhance their AI platform. You'll work with Python and AWS to build scalable machine learning solutions. This position requires strong expertise in machine learning and cloud technologies.

🏛️ On-SiteSenior
3 months ago