Role overview
We are seeking a Senior Data Scientist – Computer Vision & Video Machine Learning to design, develop, and deploy advanced visual AI solutions across a complex physical and operational environment. This role focuses on building production‑grade computer vision and video machine learning systems that enable automated inspection, physical‑world understanding, and vision‑guided robotics.
The ideal candidate brings deep expertise in modern CV and video ML architecture, strong data science fundamentals, and disciplined MLOps practices to deliver scalable, reliable, real‑world visual intelligence systems.
What you'll work on
- Design, train, and deploy computer vision and video ML models for automated visual inspection, diagnostics, and physical‑world analysis
- Develop video understanding and temporal ML pipelines for learning physical procedures and enabling vision‑guided automation
- Build perception models that allow automated and robotic systems to recognize objects, understand spatial context, and track task execution
- Develop object detection, semantic segmentation, classification, and anomaly detection models across still imagery and video streams
- Implement robust data cleaning and preparation workflows for image and video datasets, addressing noise, lighting variation, calibration drift, temporal alignment, and class imbalance
- Design state‑space and feature representations for vision‑guided reinforcement learning agents and adaptive control systems
- Develop recursive and online training pipelines that continuously improve models using production feedback and newly collected data
- Apply physics‑informed ML constraints where visual patterns correlate with underlying physical processes
- Implement MLOps best practices including experiment tracking, model versioning, automated validation pipelines, model registry management, and production monitoring
- Collaborate with engineering teams to optimize vision model inference for deployment on edge devices, embedded systems, and cloud infrastructure
- Manage large‑scale image and video annotation pipelines in partnership with domain experts
- Communicate model performance, system impact, and insights through clear, executive‑facing analytics and visualizations
*Qualifications
Education**
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, Statistics, or a related quantitative field
- Equivalent professional experience will be considered
What we're looking for
- Ability to work in a standard office or remote environment
- Ability to use a computer and multiple monitors for extended periods
- Ability to participate in meetings, design reviews, and collaborative working sessions
This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.