Principal Ml Engineer - Embodied Ai Scaling Foundations
General Motors Australia & New Zealand
Australia
Hybrid
Foundation models and alignment methods
Large model training pipelines
Data processing using numpy, pandas, spark
The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning, defining data composition and quality processes to enable AV learning at scale
Job Summary
The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning, defining data composition and quality processes to enable AV learning at scale.
As a Principal Technical Lead, you will lead the development of novel curation algorithms, pre-training, post-training and fine-tuning recipes for training AV models, impacting autonomous driving performance.
GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more, along with eligibility for a company vehicle evaluation program.
Matching Summary
The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning, defining data composition and quality processes to enable AV learning at scale.
Skills & Requirements
Must-have
Foundation Models and alignment methods
Large model training pipelines
Data processing using Numpy, Pandas, Spark
Applied research in the wild
End-to-end ML solutions
Embodied AI Data Foundations
Nice-to-have
Human-centered design process
Collaborative, high-impact team
Culture of knowledge sharing
Continuous improvement
Key Requirements
Bachelor’s, Master’s or PhD degree in Computer Science
Proven experience working with large-scale Foundation Models
Proven experience delivering applied research
Proficiency in PyTorch and Python
Proven experience in building and scaling large model training pipelines
Strong data processing skills
Excellent communication skills
Experience deploying foundation models into production
Previous experience in Robotics or Autonomous Driving