PhD Machine Learning Intern: Vision & Perception (Hybrid)

Waymo LLC; Mountain View (CA); Hybride; USD 97 000 - 138 000; Plein temps

Avantages offerts par ce poste

Hybrid onsite internship

Competitive hourly pay

Résumé du poste

Waymo LLC is seeking a PhD candidate for a hybrid onsite internship to work on advancing perception models for autonomous driving. The role focuses on analyzing multimodal perception foundations, validating models on large sensor datasets, and improving data quality through pipeline enhancements.

You will train, fine‑tune, and evaluate deep networks (e.g., Vision Transformers) using PyTorch, JAX, or TensorFlow, with hands-on experience in multimodal perception and data pipelines, while

Qualifications

• Must be enrolled in a PhD program in a related quantitative field.
• Experience programming in Python and deep learning.
• Practical experience training, fine-tuning, and evaluating DL models for CV or multimodal perception.

Responsabilités

• Analyze and characterize internal feature representations of deep multimodal perception foundation models.
• Validate model performance on large-scale autonomous vehicle sensor datasets and simulation environments.
• Train, fine-tune, and evaluate deep neural networks to improve model performance.
• Inspect perception foundational model to derive signal on data quality.
• Implement or augment data pipeline to improve data quality.

Connaissances

Python

Deep learning

Vision Transformers

Multimodal perception

Data pipelines

Formation

PhD program in Computer Science, Robotics, or Electrical Engineering

Outils

PyTorch

JAX

TensorFlow

Description du poste

Waymo LLC is seeking a PhD candidate for a hybrid onsite internship to work on advancing perception models for autonomous driving. The role focuses on analyzing multimodal perception foundations, validating models on large sensor datasets, and improving data quality through pipeline enhancements.

You will train, fine‑tune, and evaluate deep networks (e.g., Vision Transformers) using PyTorch, JAX, or TensorFlow, with hands-on experience in multimodal perception and data pipelines, while