companyMotional logo

Principal Engineer, Data & ML Infrastructure

MotionalBoston, Massachusetts, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
Remote Full-time $200K/yr - $275K/yr

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Manager

Qualifications

What You'll Do: Lead a diverse team of engineers to deliver essential software supporting the development of autonomous vehicle ML models and software. Foster innovation by researching and developing new large-scale data warehousing and analysis solutions. Oversee large-scale data analysis workflows that identify unexpected impacts of both planned and unplanned changes to ML models and software. Create high-quality datasets to enhance ML products through training and validation of edge cases. Deliver statistical insights on model performance and generalization via thorough error and change analysis. Provide technical guidance and mentorship to the team, promoting a culture of collaboration and continuous enhancement. Manage project timelines, resources, and deliverables to ensure successful project completion.

About the job

Mission:

We are looking for an exceptional Principal Engineer and Technical Lead to spearhead our extensive AI model and software evaluation framework known as Ground Truth Regression. The ideal candidate will possess a robust background in data engineering and machine learning principles, along with proven leadership experience in creating and deploying sophisticated data analysis and large-scale orchestration frameworks.

At Motional, orchestrating large-scale data analysis is essential for the development of our machine learning-driven autonomous vehicles. Our robo-taxi ML models and software are crafted by a diverse team of developers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework that validates any modifications affecting the behavior of our autonomous vehicles.

The GTRegression team assesses the overall impact of ML and software modifications on the autonomous vehicle during the development phase, equipping the team with tools for root cause analysis and safety assessments. We actively monitor for model errors, anomalies, rare objects, and long-tail driving scenarios across thousands of driving hours. Our team is responsible for developing the complete stack, including AWS Kubernetes orchestration frameworks, re-simulation tools, model metrics, regression reports, and in-depth analysis UIs. We collaborate closely with other perception and ML teams to define metrics and analyze outcomes.


About Motional

Motional is a leader in developing autonomous vehicle technology, committed to delivering safe and efficient transportation solutions. Our innovative approach drives us to push the boundaries of machine learning and artificial intelligence, creating a future where autonomous vehicles empower communities and change the way we move.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.