Senior Research Scientist, ML Foundations

• Conduct research in Machine learning, e.g., derive theoretical insights, develop alogrithm prototypes and evaluate them on academic and internal benchmarks.
• Communicate research findings with the external community through publications at top ML venues and internal stakeholders through tech reports and presentations.
• Develop approaches for more robust simulator learning and productionize them to improve driving simulation models for Waymo.
• Partner with Waymo, and other Product Areas, to turn insights from algorithmic research and proof-of-concept implementations into product improvements.

Minimum qualifications:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, a related field, or equivalent practical experience.
• 2 years of experience with research in machine learning or a related field, with publications at ML conferences (e.g., ICML, NeurIPS, ICLR)
• Experience with ML algorithm and model implementation in Python.
• Experience with deep learning frameworks (TensorFlow, Jax or others).

Preferred qualifications:

• 1 year of experience owning and initiating research agendas.
• Experience with reinforcement learning research and applications.
• Experience in deep learning and distributed training.
• Track record of developing ML solutions for real world problems.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, a related field, or equivalent practical experience.
• 2 years of experience with research in machine learning or a related field, with publications at ML conferences (e.g., ICML, NeurIPS, ICLR)
• Experience with ML algorithm and model implementation in Python.
• Experience with deep learning frameworks (TensorFlow, Jax or others).