Senior AI Computer Vision Engineer
Role details
Job location
Tech stack
Job description
We are an early-stage technology company developing advanced AI systems focused on intelligent document interpretation, spatial reasoning, and automation workflows.
Our platform combines:
- Computer Vision
- Machine Learning
- OCR
- Large Language Models
- Intelligent workflow automation
We are building high-performance systems capable of transforming complex visual information into structured, actionable data.
This is a rare opportunity to join a foundational engineering team working on technically challenging problems with significant real-world applications.
Responsibilities
- Develop and train computer vision models
- Build AI pipelines for document and image analysis
- Create scalable data-processing workflows
- Work with OCR and structured extraction systems
- Design spatial and contextual reasoning systems
- Integrate ML outputs into production applications
- Optimize model accuracy and inference performance
- Collaborate on system architecture and deployment, * Early-stage high-impact role
- Significant technical ownership
- Work on cutting-edge AI systems
- Flexible remote work environment
- Opportunity for long-term growth and equity participation
- Fast-moving engineering culture
Application Requirements
Please submit:
- Resume
- GitHub or portfolio (preferred)
- Examples of relevant AI/ML projects
- Brief overview of your experience with computer vision or automation systems
Pay: $62,574.48 - $75,358.52 per year
Requirements
Do you have experience in Production systems?, * Strong Python development experience
- Experience with machine learning and computer vision
- Familiarity with:
- YOLO
- OpenCV
- PyTorch or TensorFlow
- OCR frameworks
- PDF/image processing
- Ability to independently solve complex technical problems
- Experience building production-ready systems
Preferred Qualifications
Experience with any of the following is a plus:
- Spatial AI
- Vision-language systems
- Multi-modal AI
- LLM integration
- Cloud GPU infrastructure
- Docker/Kubernetes
- Frontend visualization tools
- Data labeling pipelines
- Automation systems
Ideal Candidate
You are someone who:
- Enjoys solving difficult engineering problems
- Can operate in a startup-style environment
- Thrives with autonomy and ownership
- Likes building systems from the ground up
- Can bridge research and practical implementation
Benefits & conditions
$62,574.48 - $75,358.52 a year - Full-time, Contract, Pulled from the full job description
- Professional development assistance
- Employee stock purchase plan
- Employee discount
- Stock options, * Employee discount
- Employee stock purchase plan
- Professional development assistance
- Stock options