Description

You will build state-of-the-art perception systems using advanced deep learning techniques.

Responsibilities

• Design, develop, and optimize deep learning models for perception and computer vision tasks.
• Conduct applied research using modern architectures like Vision Transformers, Transformers, and vision-language models.
• Tackle real-world perception challenges, including occlusion and lighting variations.
• Implement model distillation, quantization, and optimization for efficient deployment.
• Collaborate with cross-functional teams to integrate models into production pipelines.

Required Skills

• 5+ years of experience in computer vision and deep learning applied research.
• Strong proficiency in Python and PyTorch.
• Experience with modern architectures: ViT/Transformers, self-supervised learning, vision-language models, and zero-shot detection.
• Proven ability to solve complex real-world perception problems.
• Strong problem-solving and analytical skills.
• Experience with cloud platforms such as AWS or GCP.
• Familiarity with experiment tracking tools like MLflow.

Preferred Skills

• Experience with model distillation and quantization.
• Familiarity with Docker and containerized workflows.

Key Skills

Education

Any Graduate