As a Principal Technical Lead on the Data Scaling team within Embodied AI Data Foundations at GM, you will drive cutting-edge end-to-end machine learning solutions by leveraging real and synthetic datasets to enhance autonomous vehicle performance. Your responsibilities include designing and implementing data curation algorithms, pre-training recipes, and fine-tuning pipelines that scale up AV foundation models with billions of examples across diverse sources. You will collaborate closely with cross-functional teams to integrate distillation recipes for onboard driving models, apply advanced techniques like unsupervised learning and reinforcement learning, and mentor junior engineers while staying updated on AI advancements. Essential skills include a degree in Computer Science or related field, experience with large-scale Foundation Models, proficiency in PyTorch and Python, strong data processing abilities using tools like Numpy and Apache Spark, and expertise in deploying models into production environments.
Remote (Gm Automation - Sunnyvale - Gm Automation - Sunnyvale, US)52 days ago
$158,000–$241,900
Python
PyTorch
TensorFlow
JAX
C++
Neural Networks
Computer Vision
Real-time Inference
Model Optimization
Scalability
Robustness
Safety-Critical Systems
Deep Learning
End-to-End ML
CI/CD