Hybrid PhD ML Engineer Intern: Transformers & Uncertainty

We Love AI Jobs; Mountain View (CA); Híbrido; USD 97.000 - 138.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Housing/relocation bonus

Medical, dental, and vision insurance

Free breakfast/lunch/snacks

Shuttle service

Descripción de la vacante

Waymo internship in Mountain View, CA combines cutting-edge ML research with autonomous driving simulation. You will implement uncertainty-aware algorithms to improve transformer-based multi-task classifiers and validate changes end-to-end.

You must be a PhD candidate with strong Python and DL framework experience (TensorFlow/JAX). The role offers hybrid onsite work, competitive compensation, housing/relocation bonus where applicable, and exposure to state-of-the-art robotics perception and

Formación

• Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related quantitative field.
• Strong programming proficiency in Python and hands-on experience with deep learning frameworks (e.g., TensorFlow, JAX).
• Solid theoretical understanding of machine learning and deep learning fundamentals, including debugging transformer based models with TensorBoard metrics.

Responsabilidades

• Implement uncertainty aware algorithms that improve the performance of transformer-based multi-task classifiers.
• Implement the changes end-to-end, including eval.
• Verify data and model implementations against the experiment plan.

Conocimientos

Python

TensorFlow

JAX

Machine Learning

Deep Learning

Transformers

TensorBoard

Version Control

Educación

PhD Candidate

Herramientas

TensorFlow

JAX

TensorBoard

Git

Descripción del empleo

Waymo internship in Mountain View, CA combines cutting-edge ML research with autonomous driving simulation. You will implement uncertainty-aware algorithms to improve transformer-based multi-task classifiers and validate changes end-to-end.

You must be a PhD candidate with strong Python and DL framework experience (TensorFlow/JAX). The role offers hybrid onsite work, competitive compensation, housing/relocation bonus where applicable, and exposure to state-of-the-art robotics perception and