Senior ML Platform Engineer

42dot
South Korea
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 7+ yearsEducation: bachelorsSkills: ["Leadership","Communication","Technical project leadership"]

Build and operate the ML platform that powers autonomous driving development: a scalable data platform for millions of scene datasets, plus high-performance data serving SDKs for training and evaluation. You’ll develop a data lakehouse (sensor, calibration, annotation), advance an Autonomous Driving Data SDK for search and loading, and optimize end-to-end data pipeline performance and test coverage. Collaborate with ML and cloud infrastructure teams to align platforms with overall AD architecture.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
42dot
42dot
1 month ago

Senior ML Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build and operate the ML platform that powers autonomous driving development: a scalable data platform for millions of scene datasets, plus high-performance data serving SDKs for training and evaluation. You’ll develop a data lakehouse (sensor, calibration, annotation), advance an Autonomous Driving Data SDK for search and loading, and optimize end-to-end data pipeline performance and test coverage. Collaborate with ML and cloud infrastructure teams to align platforms with overall AD architecture.
Location: South Korea
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Set technical strategy and oversee development of a high-scale, reliable data platform for ML training and validation.
  • •Build the data lakehouse for autonomous driving scene datasets (sensor, calibration, annotation).
  • •Develop an Autonomous Driving Data SDK for scene data search, dataset preparation, and dataset loading.
  • •Investigate and resolve performance bottlenecks across data processing pipelines, including latency and test procedure coverage.
  • •Bootstrap and maintain infrastructure for data platform components (pipelines, database, lakehouse, and data serving), collaborating with ML and cloud teams.

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Engineering, Robotics, or a similar technical field.
  • •Minimum 7 years of experience in Data Engineering or ML Platform roles.
  • •Expert-level proficiency in Python, including Python SDK development.
  • •Strong experience with databases such as MongoDB and PostgreSQL.
  • •Hands-on experience with data pipeline orchestration (Databricks Workflows or Apache Airflow) and ML integration.
Experience:7+ yearsAutonomous drivingData engineeringML platform
Education:Bachelor's in Computer Science, Engineering, Robotics (or similar technical field)
Skills:LeadershipCommunicationTechnical project leadership
Tech Stack:PythonPyTorchTensorFlowMongoDBPostgreSQLDatabricks WorkflowsApache AirflowHiveDelta LakeApache SparkVLMLiDARCameraRadar

Company Brief

42dot
Develops autonomous driving and mobility software platforms, including AI-based perception, mapping, routing, and connected-vehicle technologies. It works on next-generation transportation systems and self-driving vehicle capabilities for automotive applications.
Industry: Autonomous Vehicles
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Seoul, South Korea
Founded: 2019
WebsiteLinkedIn