Senior ML Platform Engineer (Autonomous Driving)
San Francisco, CA - USA
Department:
Job Summary
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 componentsData 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
Bachelors 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
$133000 - $2540000
Additional Information
In accordance with fair hiring practices do not include any personal information unrelated to your job qualifications (e.g. Social Security Number family relations marital status age photo physical condition place of birth etc.) in your resume.
All documents must be submitted in PDF format and under 30MB in size.
If you experience issues uploading your resume please send it along with the job posting URL to .
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.
Please review the following information before applying.
How to work in 42dot About 42dot Way
Required Experience:
Senior IC