Computer vision engineer in tennis video analytics

ОнТаргет ЛАБС; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

OnTarget Labs is seeking a Computer Vision/AI engineer to join our remote product team to build AI-powered tennis video analysis from smartphone footage. This is a full-time, remote position.

You will work across the CV/ML pipeline, from data quality and model evaluation through production improvements, edge deployment, and real-world robustness, reporting to Head of Engineering/CTO. Excellent English communication is required and experience with Python/PyTorch is essential.

Qualifications

• Strong practical computer vision experience 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 deployment workflows (ONNX, Core ML, TensorFlow Lite, quantization, pruning, latency optimization).
• Bachelor’s degree in Information Systems, Computer Science, or a related field
• Excellent verbal and written communication skills in English.

Responsibilities

• The role would support the 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.

Skills

Python

PyTorch

Computer vision

Object detection

Object tracking

Keypoint models

Model evaluation

Dataset strategy

Edge inference

Cloud deployment

English communication

Education

Bachelor’s degree in Information Systems, Computer Science, or related field

Tools

ONNX

Core ML

TensorFlow Lite

Job description

Описание

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.

Задачи

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.

Требования

• 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

Условия

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