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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.

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