Autonomous Driving ML Research Intern – Onsite Fremont

Pony.ai; Fremont (CA); In loco; USD 78.000 - 112.000; Tempo pieno

Descrizione del lavoro

Pony.ai in Fremont, CA is seeking a graduate student to advance autonomous vehicle AI through large-scale foundation models. You will frame real-world problems as ML tasks and develop real-time capable models for driving systems.

You will design multi-modal perception models, train and deploy deep learning solutions, and contribute to data pipelines using large-scale datasets. This rolling, onsite role starts in Fremont.

Competenze

• Currently pursuing a Masters or PhD in Computer Science, Machine Learning, Robotics, or similar field.
• Strong background in deep learning with experience in model design, training and evaluation.
• Experience with deep learning research and tools.
• Proficiency in software design and development using Python and C++.
• Experience working with large-scale datasets, data preprocessing, and pipeline management.

Mansioni

• Work with experts in self-driving vehicles to design and develop large-scale foundation models trained on real-world data.
• Frame open-ended ML problems into well-defined tasks and scale them into data pipelines for real-time car applications.
• Develop and deploy deep learning models, including vision-language models and LLMs.
• Design multi-modality perception models focusing on 3D object detection, tracking, and scene understanding.
• Optimize models to run robustly under tight runtime constraints.

Conoscenze

Python

C++

Deep learning

ML research

Data preprocessing

Pipeline management

CUDA

TensorRT

GPU

Formazione

Masters or PhD in CS/ML/Robotics

Strumenti

CUDA

TensorRT

Descrizione del lavoro

Pony.ai in Fremont, CA is seeking a graduate student to advance autonomous vehicle AI through large-scale foundation models. You will frame real-world problems as ML tasks and develop real-time capable models for driving systems.

You will design multi-modal perception models, train and deploy deep learning solutions, and contribute to data pipelines using large-scale datasets. This rolling, onsite role starts in Fremont.