Motional
Principal Engineer, Data & ML Infrastructure
Mission: We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software. Drive innovation by researching and developing new large scale data warehousing and analysis. Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software. Build high-quality datasets to improve ML products through training & edge case validation. Provide statistical depth on model performance & generalization through rigorous error and change analysis. Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement. Manage project timelines, resources, and deliverables to ensure successful project execution. What We're Looking For: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Excellent leadership, communication, and problem-solving skills. Proven record leading a small diverse dedicated team supporting a large user base. Experience in machine learning, data mining, and statistical analysis. Proven experience in developing and deploying large scale cloud frameworks. Strong programming skills in Python. Experience with large-scale data processing and distributed computing technologies. Bonus Points: Ph.D. in Computer Science or a related field. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Experience with machine learning in the autonomous driving domain. Publications or contributions to the AI/ML community. Salary Range: $175,000 - $234,250 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers, and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Mission: We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software. Drive innovation by researching and developing new large scale data warehousing and analysis. Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software. Build high-quality datasets to improve ML products through training & edge case validation. Provide statistical depth on model performance & generalization through rigorous error and change analysis. Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement. Manage project timelines, resources, and deliverables to ensure successful project execution. What We're Looking For: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Excellent leadership, communication, and problem-solving skills. Proven record leading a small diverse dedicated team supporting a large user base. Experience in machine learning, data mining, and statistical analysis. Proven experience in developing and deploying large scale cloud frameworks. Strong programming skills in Python. Experience with large-scale data processing and distributed computing technologies. Bonus Points: Ph.D. in Computer Science or a related field. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Experience with machine learning in the autonomous driving domain. Publications or contributions to the AI/ML community. Salary Range: $175,000 - $234,250 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers, and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.