Company: CliniScripts

Contract: Initial six months, with the possibility of extension

Compensation: Approximately $60,000 annual equivalent, subject to final confirmation

Location: [Remote/Hybrid]

Reports to: CTO

About The Role

CliniScripts is seeking a Video Machine Learning Engineer to support an ABA therapy video-data project.

The engineer will help build a secure pipeline for processing recorded therapy sessions and developing computer-vision and machine-learning models using BCBA-annotated video data.

Responsibilities

• Review the existing video dataset and determine its suitability for ML training.
• Build a secure pipeline for uploading, storing, processing, and tracking videos.
• Create automated checks for video, audio, and metadata quality.
• Connect timestamped BCBA annotations to video data.
• Develop features for pose, movement, speech, and behavioural-event analysis.
• Build and evaluate proof-of-concept video ML models.
• Document the technical process, model results, and dataset limitations.
• Follow strict privacy and security requirements when handling videos involving children.
  
  

Requirements

• Strong Python and machine-learning experience.
• Practical experience with video, computer vision, and tools such as OpenCV or FFmpeg.
• Experience with PyTorch, TensorFlow, or a similar ML framework.
• Experience with pose estimation, action recognition, or video classification.
• Understanding of ML evaluation, annotation quality, and dataset bias.
• Ability to work independently and communicate with technical and clinical teams.
  
  

Initial Deliverables

During the six-month contract, the engineer will be expected to:

• Audit the current video dataset.
• Recommend video-quality and data-collection standards.
• Build the initial video-processing and quality-control pipeline.
• Create a baseline feature-extraction workflow.
• Develop and evaluate an initial proof-of-concept model.