ML Data Engineer, Model Lifecycle & Pipelines

Waymo; Kirkland (WA); Hybrid; USD 204,000 - 259,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Equity incentive plan

Generous Company benefits program

Job summary

A leader in autonomous driving technology seeks an experienced data engineer. You will design and maintain scalable data pipelines for complex sensor data, ensuring efficient model training. The ideal candidate has outstanding programming skills in C++ or Python, experience in ML data engineering, and a passion for autonomous driving applications. The role offers a competitive salary range between $204,000 and $259,000, with the opportunity for bonuses and comprehensive benefits.

Qualifications

• 5+ years of industry experience or PhD + 2 years of experience.
• Experience with the ML development lifecycle.
• Passionate about data-centric AI and autonomous driving applications.

Responsibilities

• Design and maintain scalable data pipelines for complex sensor data.
• Develop infrastructure for reliable datasets for ML models.
• Collaborate closely with ML engineers and research scientists.

Skills

C++

Python

ML data engineering

Data pipelines

Data curation

Education

BS/MS in relevant field

PhD in relevant field

Tools

Apache Spark

Google Cloud Dataflow

AWS Data Pipeline

Job description

A leader in autonomous driving technology seeks an experienced data engineer. You will design and maintain scalable data pipelines for complex sensor data, ensuring efficient model training. The ideal candidate has outstanding programming skills in C++ or Python, experience in ML data engineering, and a passion for autonomous driving applications. The role offers a competitive salary range between $204,000 and $259,000, with the opportunity for bonuses and comprehensive benefits.