Data Scientist

HERE • Chicago, IL

2d

About The Position

As Data Scientist II, you will specialize in Vision Foundation Models, developing and scaling large-scale visual, multimodal, or generative models (like ViT, SAM, DinoV3) using Python and PyTorch/TensorFlow. Your responsibilities will include pre-training, fine-tuning, and optimizing model architectures for perception and reasoning. This role requires experience in self-supervised learning, computer vision, and deploying high-performance models. You will be instrumental in implementing novel algorithms from research papers to solve real-world computer vision challenges and will implement evaluation frameworks to measure model performance and quality.

Requirements

• 1-2 years of experience in Vision Foundation Models.
• Advanced proficiency in Python and deep learning frameworks like PyTorch.
• Strong understanding of Computer Vision techniques, Vision Transformers (ViT), and self-supervised learning.
• Hands-on experience with foundational model architectures (e.g., SAM, DinoV3).
• Experience handling large-scale, unstructured datasets.
• Master's or above in Computer Science, AI, or related fields.
• Experience with CUDA for performance optimization.

Nice To Haves

• Experience with generative models or diffusion models.
• Knowledge of Multimodal Learning (image and text/video).
• Experience with edge AI deployment.
• Experience with database management and optimization, with a strong preference on PostgreSQL / PostGIS.

Responsibilities

• Design, train, and scale vision foundation models across image and video modalities.
• Utilize transfer learning, fine-tuning, and adapter methods to adapt models to specific downstream tasks.
• Create efficient data pipelines and pre-training strategies for large-scale datasets.
• Optimize model architecture, training efficiency, latency, and throughput.
• Implement novel algorithms from research papers to solve real-world computer vision challenges.
• Implement evaluation frameworks (e.g., using LLM-as-a-judge or traditional metrics) to measure model performance and quality.

Benefits

• health (Medical/Dental/Vision) insurance
• retirement savings plans
• paid time off & leave policies
• annual performance bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level