ML Research Intern - Deep Learning for Autonomous Driving

Albert Invent; Fremont (CA); On-site; USD 78,120 - 111,600; Full time

Job summary

Albert Invent is seeking a talented individual for a role in deep learning focused on autonomous vehicles. Responsibilities include designing large-scale models trained on real-world data, optimizing them for real-time applications, and working with industry experts. The ideal candidate is currently pursuing a Master's or PhD in Computer Science or a related field.

This fully onsite position in Fremont offers competitive compensation of $7,000/month for Master's and $10,000/month for PhD candidates.

Qualifications

• Currently pursuing a Master's or PhD program in a relevant field.
• Strong background in deep learning with experience in model design.
• Experience with deep learning research and tools.

Responsibilities

• Design and develop large-scale foundation models for self-driving vehicles.
• Frame real-world problems into well-defined ML problems and apply cutting-edge approaches.
• Optimize deep learning models for real-time applications.

Skills

Deep learning

Machine learning

Python

C++

Data preprocessing

Education

Masters or PhD in Computer Science, Machine Learning, Robotics

Tools

CUDA

TensorRT

Job description

Albert Invent is seeking a talented individual for a role in deep learning focused on autonomous vehicles. Responsibilities include designing large-scale models trained on real-world data, optimizing them for real-time applications, and working with industry experts. The ideal candidate is currently pursuing a Master's or PhD in Computer Science or a related field.

This fully onsite position in Fremont offers competitive compensation of $7,000/month for Master's and $10,000/month for PhD candidates.