Computer vision engineer in tennis video analytics

OnTarget Labs is a leading international software product development company. We create next generation of world class product lines. The company is looking for a Computer Vision/AI engineer to join our innovative product team as a full-time member working REMOTELY . We are building AI-powered tennis video analysis from smartphone-recorded match footage.

• The role would support our internal team across the full CV/ML pipeline, from dataset quality and model evaluation through production-oriented model improvement, custom tracking/interpretation logic, and selective edge/mobile deployment.
• The engineer will operate under Head of Engineering / CTO guidance but should be skilled enough to independently assess problems, recommend experiments, implement improvements, and communicate technical tradeoffs clearly.

• Strong practical computer vision experience, especially with real-world video
• Strong Python and PyTorch experience
• Experience with object detection, object tracking, classification, and/or keypoint-style models
• Ability to evaluate model outputs, diagnose failure modes, and recommend targeted improvements
• Strong understanding of dataset strategy, annotation quality, validation design, and metric interpretation
• Experience designing or improving custom tracking, smoothing, temporal decoding, or model interpretation layers
• Experience improving models toward production-level robustness across diverse real-world conditions
• Experience deploying and optimizing cloud-based video processing pipelines
• Experience with on-device edge/mobile inference, and skilled with deployment workflows, such as ONNX, Core ML, TensorFlow Lite, quantization, pruning, latency optimization, or mobile performance tuning
• Bachelor’s degree in Information Systems, Computer Science, or a related field
• Excellent verbal and written communication skills in English
• Будет плюсом: Sports video analytics; Ball/racket/puck tracking or other fast-moving object detection; Smartphone-recorded or consumer-quality video

• Competitive compensation to be defined upon the interview results
• Full time REMOTE WORK