[집중채용] Senior ML Platform Engineer

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour 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

Website

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42dot

1 week ago

[집중채용] Senior ML Platform Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

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

Website