Key Responsibilities

• Develop and train vision algorithms for use cases such as classification, segmentation, and object detection—especially for complex technical and industrial visuals.
• Integrate vision-based models into end-to-end production systems, ensuring scalability and reliability for enterprise use.
• Design internal data annotation strategies and pipelines to create proprietary training datasets for model development.
• Work with multi-format content including images, structured documents, and tables as part of intelligent automation efforts.
• Conduct experimentation to evaluate and refine model performance with respect to speed, accuracy, and stability in real-time environments.

Your Background

• Advanced degree (MS or PhD) in Computer Science, Robotics, AI, or a related area with a focus on computer vision.
• Minimum of 5 years’ hands-on experience developing and shipping computer vision models in live systems.
• Strong Python programming skills and experience with deep learning libraries such as PyTorch or TensorFlow.
• Proficiency in image preprocessing, visual feature analysis, and computer vision tooling (e.g., OpenCV).
• Familiarity with transformer-based vision architectures and cutting-edge developments in the CV ecosystem.
• Nice to Have: Background in multimodal AI systems or experience with visual data from domains like blueprints, site imagery, or other structured visuals.
• Bonus Points: Experience working with retrieval-augmented generation (RAG) or large language model (LLM)-based systems in a practical setting.

What’s Offered

• Work in a fast-moving, mission-driven team where your work makes a visible impact.
• Competitive salary with stock/equity options.
• Comprehensive healthcare (medical, dental, vision) with full-coverage plans available.
• Annual allowance for learning, training, or attending conferences.
• Remote-friendly setup with optional hybrid work in NYC or Austin.
• Catered office lunches (in applicable locations), unlimited PTO, and regular team off-sites.

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