Autonomous Driving: Multimodal Representation Scientist

Deeproute.ai; Colorado; On-site; USD 90,000 - 120,000; Full time

Job summary

Deeproute.ai is seeking a research scientist to advance multimodal representation learning for autonomous driving. The ideal candidate will engage in method-level innovation, designing new learning paradigms and training strategies for large-scale models. Strong academic credentials in Computer Science or related fields and experience with modern frameworks are essential. Responsibilities include developing novel methods, innovating on architectures, and collaborating across teams to implement new solutions. This is a unique opportunity to significantly impact autonomous driving technology.

Qualifications

• Strong academic background in Computer Science, AI, or related fields.
• Solid understanding of modern representation learning frameworks like CLIP and DINOv2.
• Proven experience in method-level innovation such as designing new loss functions.

Responsibilities

• Design and develop novel representation learning methods.
• Innovate on model architectures like Vision Transformers and Video models.
• Collaborate with engineering and data teams to integrate new methods.

Skills

Strong academic background in Computer Science, AI, or related fields

Solid understanding of modern representation learning frameworks

Experience in method-level innovation

Creating new training strategies

Education

Ph.D. in Computer Science, AI, or a related field

Tools

DeepSpeed

Megatron-LM

Job description

Deeproute.ai is seeking a research scientist to advance multimodal representation learning for autonomous driving. The ideal candidate will engage in method-level innovation, designing new learning paradigms and training strategies for large-scale models. Strong academic credentials in Computer Science or related fields and experience with modern frameworks are essential. Responsibilities include developing novel methods, innovating on architectures, and collaborating across teams to implement new solutions. This is a unique opportunity to significantly impact autonomous driving technology.