[포티투닷] Senior ML Platform Engineer (Autonomous Driving) 채용

포티투닷; United States; Remote; USD 133,000 - 254,000; Full time

Job summary

42dot, the Global Software Center of Hyundai Motor Group, seeks an AD/ML Platform Engineer to lead the data platform for ML model training and evaluation in a scalable cloud environment.

You will drive data lakehouse development, SDK tooling, and performance improvements while collaborating cross-functionally to align with the autonomous driving system architecture.

Qualifications

• Minimum of 7 years of experience in Data Engineering or ML Platform roles.
• Expert-level proficiency in Python and Python SDK development.
• Solid working experience in Databases (e.g., MongoDB, PostgreSQL).
• Strong understanding of modern AI frameworks (e.g., PyTorch, TensorFlow), especially distributed data loader concepts.
• Hands-on experience with data pipeline orchestration (Databricks Workflows or Apache Airflow).
• Extensive experience with Data Warehouse/Lakehouse architectures (Hive, Delta Lake).
• Experience with Apache Spark or other big data engines.
• Excellent leadership and communication skills with ability to lead technical projects.

Responsibilities

• Set technical strategy and oversee development of a high-scale, reliable data platform for ML training/validation.
• Build data lakehouse for autonomous driving scene datasets (sensor, calibration, annotation data).
• Drive Autonomous Driving Data SDK development (scene search, dataset preparation/loading).
• Identify and address performance bottlenecks across data pipelines (latency, TP coverage).
• Bootstrap and maintain infrastructure for Data Processing Pipeline, Database, Data Lakehouse, and Data Serving.
• Collaborate with ML algorithms, ML applications, and Cloud Infra to align platforms with autonomous driving architecture.

Skills

Python

AI frameworks

Leadership & communication

Data orchestration

Distributed data loading

Education

Bachelor's degree or higher in CS/Engineering/Robotics

Tools

Databricks Workflows

Apache Airflow

MongoDB

PostgreSQL

Job description

We are looking for the best About Us42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.At 42dot, our AD ML Platform Engineers build the core data platform and ML training / eval platform for the cutting edge algorithms in autonomous driving. We develop the distributed system of a scalable data platform for large-scale dataset (millions of scenes), as well as high-performance data serving SDKs for ML model training / evaluation. The platforms we deliver could highly improve the efficiency of ML model development lifecycle, including training, evaluation, deployment, as well as monitoring in the cloud environment. ResponsibilitiesSet technical strategy and oversee development of high scale, reliable data platform to manage, visualize and serve large-scale datasets for ML model training and validation.Build up the data lakehouse for autonomous driving scene datasets, including the sensor data, calibration data, as well as annotation dataDrive the Autonomous Driving Data SDK development, including scene data search, datasets preparation, dataset loading, etc.Dig into performance bottlenecks all along the data processing pipelines, from data processing latency, data search latency to Test Procedure (TP) coverage.Bootstrap and maintain infrastructure for Data Platform components—Data Processing Pipeline, Database, Data Lakehouse and Data Serving.Collaborate with cross-functional teams, including ML algorithm, ML application, and Cloud Infra to align ML Platforms with overall Autonomous Driving System Architecture. QualificationsBachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field.Minimum of 7 years of experience in Data Engineering or ML Platform rolesExpert-level proficiency in Python and solid experience in Python SDK developmentSolid working experience in Databases (e.g., MongoDB, PostgreSQL, etc)Strong understanding of modern AI frameworks (e.g., PyTorch, TensorFlow etc), especially the principle of distributed data loader for model trainingHands-on experience with data pipeline job orchestration with Databricks Workflows or Apache Airflow, as well as integrating data pipelines with machine learning modelsExtensive experience with data technologies and architectures such as Data Warehouse (e.g., Hive) or Lakehouse (e.g., Delta Lake)Experience with Apache Spark or other big data computing enginesExcellent leadership and communication skills, with a demonstrated ability to lead technical projects  Preferred QualificationsExperience with autonomous vehicle sensor data (e.g., LiDAR, camera, radar)Experience with ML model training lifecycle (e.g., data preparation, model training / validation / deployment, etc)Understanding data governance principles, data privacy regulations, and experience implementing security measures to protect dataUnderstanding of Large Models, like VLM Interview ProcessApplication Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - HiringThe screening procedures may vary depending on the position, schedule, or other circumstances. You will be individually notified of the screening schedule and results via the email address provided in your application. Compensation$133,000 - $254,0000 Additional InformationWe strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

• Autonomous Driving
• ML
• Computer Science

We are looking for the best

About Us

42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.

We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.

At 42dot, our AD ML Platform Engineers build the core data platform and ML training / eval platform for the cutting edge algorithms in autonomous driving. We develop the distributed system of a scalable data platform for large-scale dataset (millions of scenes), as well as high-performance data serving SDKs for ML model training / evaluation. The platforms we deliver could highly improve the efficiency of ML model development lifecycle, including training, evaluation, deployment, as well as monitoring in the cloud environment.

Responsibilities

Set technical strategy and oversee development of high scale, reliable data platform to manage, visualize and serve large-scale datasets for ML model training and validation.

Build up the data lakehouse for autonomous driving scene datasets, including the sensor data, calibration data, as well as annotation data

Drive the Autonomous Driving Data SDK development, including scene data search, datasets preparation, dataset loading, etc.

Dig into performance bottlenecks all along the data processing pipelines, from data processing latency, data search latency to Test Procedure (TP) coverage.

Bootstrap and maintain infrastructure for Data Platform components—Data Processing Pipeline, Database, Data Lakehouse and Data Serving.

Collaborate with cross-functional teams, including ML algorithm, ML application, and Cloud Infra to align ML Platforms with overall Autonomous Driving System Architecture.

Qualifications

Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field.

Minimum of 7 years of experience in Data Engineering or ML Platform roles

Expert-level proficiency in Python and solid experience in Python SDK development

Solid working experience in Databases (e.g., MongoDB, PostgreSQL, etc)

Strong understanding of modern AI frameworks (e.g., PyTorch, TensorFlow etc), especially the principle of distributed data loader for model training

Hands-on experience with data pipeline job orchestration with Databricks Workflows or Apache Airflow, as well as integrating data pipelines with machine learning models

Extensive experience with data technologies and architectures such as Data Warehouse (e.g., Hive) or Lakehouse (e.g., Delta Lake)

Experience with Apache Spark or other big data computing engines

Excellent leadership and communication skills, with a demonstrated ability to lead technical projects

Preferred Qualifications

Experience with autonomous vehicle sensor data (e.g., LiDAR, camera, radar)

Experience with ML model training lifecycle (e.g., data preparation, model training / validation / deployment, etc)

Understanding data governance principles, data privacy regulations, and experience implementing security measures to protect data

Understanding of Large Models, like VLM

Interview Process

Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring

The screening procedures may vary depending on the position, schedule, or other circumstances.

You will be individually notified of the screening schedule and results via the email address provided in your application.

Compensation

$133,000 - $254,0000

We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.

Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).

42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.