About the job
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.
Responsibilities
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.
Qualifications
Minimum
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.
Preferred
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.