Engineer 1 Intern - VLA Model Development

​Role Summary:

The Engineer I, VLA Model Development (Intern) will support model research and development for autonomous drivingat CARIAD INC. and the Volkswagen Group. Working with researchers and engineers, this role will develop and evaluatevision-language-action (VLA) models that connect visual observations and language with driving actions. Depending onproject needs and research strengths, the work may focus on perception, scene understanding, or world models thatpredict how driving environments evolve.

Role Responsibilities:

VLA Model and Development

• Prototype, train, and fine-tune VLA models or supporting perception and world-model components.
• Investigate recent methods and implement a focused research project with mentor guidance. 

Data and Experimentation

• Prepare driving datasets and evaluation splits; improve data quality and coverage.
• Run controlled experiments and ablations and maintain reproducible configurations and experiment records.

Evaluation and Integration

• Measure model accuracy, driving behavior, robustness, and inference cost.
• Analyze failures in offline and simulation evaluation; collaborate with planning and deployment engineers on model interfaces. 

Documentation and Collaboration

• Document methods, results, and limitations; review code and present findings.
• Deliver a reproducible prototype and a final technical report. 

​General Skills:

• Analytical thinking and structured problem solving; clear written and verbal communication; careful documentation; collaboration across research and engineering teams.

​Required Specialized Skills:

• Strong Python programming skills and practical experience with PyTorch or an equivalent deep learning framework.
• Foundations in deep learning, linear algebra, probability, and experimental design.
• Hands-on experience in at least one area: vision-language-action models, computer vision / perception, or world models. 
• Ability to prepare datasets, train or fine-tune models, debug failures, and evaluate results reproducibly. 

​Desired Skills:

• Experience with transformers, multimodal learning, imitation learning, diffusion models, or action-conditioned prediction.
• Experience with driving video, 3D, scene understanding, multi-sensor data, or simulation.
• Familiarity with GPU training, distributed experiments, or modal inference optimization.
• Research publications, open-source contributions, or a substantial research project.

Workplace Flexibility:

• On-site five days a week in Mountain View, CA, following the supplied template. Work arrangement and internship schedule TBD.
• This is an intern W2 position / Hourly rate $44.88 - $96.00
• This role is based in Mountain View, CA. Must be local, no relocation. 
• Immediate availability is required. The selected candidate is expected to start promptly upon offer acceptance and pending successful completion of a standard background check and drug screening

​Years of Relevant Experience:

• Research, coursework, or project experience developing and evaluating deep learning models. Prior industry experiences are not required.

​Required Education:

• ​Currently pursuing or holding a master’s or PhD degree in Computer Science.

​Desired Education: 

• Currently pursuing a PhD in Computer Science is preferred, particularly with research in machine learning, computer vision, or embodied AI.

Compensation

Hourly range is dependent on factors such as geographical differentials, credentials or certifications, industry-based experience, qualification and training. In the city of Mountain View, CA, the hourly range for this intern position is $44.88 - $69.00

By submitting your application, you acknowledge and agree to participate in the export control and sanctions compliance screening process. Your cooperation in this matter is essential to our shared success and the integrity of our operations. Thank you for your understanding and commitment to upholding these important standards.