Senior Data Scientist - Computer Vision & ML, Cross-Domain AI

• About Our Client:

The organization is developing the first global cellular broadband network in space designed to operate directly with standard, unmodified mobile devices. It addresses the connectivity gaps faced by billions of mobile users worldwide, aiming to bring broadband access to those currently unconnected. The technology serves both commercial and government applications, leveraging extensive intellectual property and patents.

• About the Opportunity:

The Senior Data Scientist - Computer Vision & ML, Cross-Domain AI will design, develop, and deploy advanced computer vision and video machine learning systems that support automated inspection, physical-world understanding, and vision-guided robotics. This role is critical in delivering scalable and reliable visual intelligence solutions across complex environments, contributing to the organization''s ability to implement real-world AI applications in its network and operations.

• Responsibilities:

• Design, train, and deploy computer vision and video ML models for visual inspection, diagnostics, and physical-world analysis

• Develop video understanding and temporal ML pipelines for physical procedure learning and vision-guided automation

• Build perception models for object recognition, spatial context understanding, and task tracking in automated and robotic systems

• Create object detection, semantic segmentation, classification, and anomaly detection models for images and video streams

• Implement data cleaning and preparation workflows addressing noise, lighting variation, calibration drift, temporal alignment, and class imbalance

• Design state-space and feature representations for vision-guided reinforcement learning and adaptive control

• Develop recursive and online training pipelines using production feedback and new data

• Apply physics-informed ML constraints correlating visual patterns with physical processes

• Implement MLOps best practices including experiment tracking, model versioning, validation pipelines, model registry, and monitoring

• Collaborate with engineering teams to optimize model inference on edge devices, embedded systems, and cloud infrastructure

• Manage large-scale image and video annotation pipelines with domain experts

• Communicate model performance and system impact through executive-level analytics and visualizations

• Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, Statistics, or related field; equivalent experience considered

• Minimum 6 years in data science or machine learning

• At least 3 years of hands-on experience with computer vision and/or video ML in production deployments

• Preferred: experience in visual inspection, industrial quality systems, robotic perception, autonomous systems, video-based imitation learning, or regulated/safety-critical environments

• Preferred: PhD or advanced research in computer vision, video ML, robotics, or related fields

• Preferred: experience with generative models for synthetic data or anomaly detection

• Strong collaboration and communication skills, including executive presentations

• Attention to detail ensuring model accuracy and reliability

• Problem-solving and analytical skills with an ownership mindset

• Experience with Python ML and CV frameworks (PyTorch, TensorFlow, OpenCV), deep learning architectures, MLOps tools (MLflow, Weights & Biases), data annotation, SQL, and deployment technologies

• Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

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