# Applied Deep Learning Algorithm Intern

**Company**: NVIDIA
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Applied-Deep-Learning-Algorithm-Intern--Autonomous-Driving---2027_JR2027181?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5ad6e9df-506

## Description

We are looking for a highly motivated Applied Deep Learning Algorithm Intern to join our autonomous driving team. You will work with experienced engineers on learning-based driving algorithms, supervised fine-tuning, reinforcement learning, data optimization, model evaluation, and multi-carline adaptation.

**Responsibilities:**

- Develop, train, fine-tune, and evaluate learning-based algorithms for autonomous driving decision-making, planning, and driving behavior.

- Explore Transformer-based approaches, including VLMs and VLAs, for driving-scene understanding, decision-making, and trajectory generation.

- Build supervised fine-tuning data workflows and Python tools for scenario mining, data cleaning, filtering, labeling, experiment management, visualization, and model evaluation.

- Analyze model failures and vehicle logs, mine hard cases, and improve dataset balance, long-tail coverage, and noise quality.

- Conduct supervised fine-tuning, reinforcement learning, ablation, and evaluation experiments using offline metrics, open-loop replay, simulation, and vehicle-test results.

- Support model and carline adaptation across multiple autonomous driving programs, including issue analysis, validation, and scaling.

**Requirements:**

- Currently pursuing a Master's or PhD in Computer Science, Artificial Intelligence, Robotics, Mathematics, or a related field.

- Good Python programming skills and hands-on experience with PyTorch or another deep learning framework.

- Good understanding of machine learning, deep learning, Transformer architectures, model training, optimization, and dataset analysis.

- Proficient English communication skills, both written and verbal, with the ability to collaborate effectively with global teams.

- Able to work at least three days per week throughout the internship.

**Nice to Have:**

- Experience with supervised fine-tuning, imitation learning, reinforcement learning, behavior cloning, or learning-based planning.

- Experience using or fine-tuning VLMs, VLAs, or other multimodal foundation models.

- Familiarity with autonomous driving datasets, trajectory data, vehicle logs, simulation, or scenario-mining pipelines.

- Strong C++ skills or relevant research, open-source, publication, or competition experience.

## Skills

### Required
- Python
- PyTorch
- machine learning
- deep learning
- Transformer architectures

### Nice to have
- supervised fine-tuning
- imitation learning
- reinforcement learning
- behavior cloning
- learning-based planning
- VLMs
- VLAs
- multimodal foundation models
- autonomous driving datasets
- trajectory data
- vehicle logs
- simulation
- scenario-mining pipelines
- C++

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Applied-Deep-Learning-Algorithm-Intern--Autonomous-Driving---2027_JR2027181?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)