Hybrid Computer Vision ML Engineer (Healthcare & Retail)

Chooch; San Mateo; Hybrid; PHP 7,561,000 - 11,972,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

401K with 3% match

Extensive PTO

Life insurance

Job summary

Chooch is seeking a Machine Learning Engineer (US-based) to design, train, and refine computer vision models for real customer projects. The role involves data preparation, neural network configuration, and deploying models across healthcare, manufacturing, and retail settings.

As part of a solutions-focused team, you will work with customers and engineers to translate requirements into measurable model specs, optimize for edge hardware, and contribute to ML tooling and processes.

Qualifications

• 3-5 years of industry experience building ML systems, with at least 2 years focused on computer vision.
• BS or MS in Computer Science, Electrical Engineering, Math or a related field, or equivalent practical experience.
• Strong Python and hands-on experience with PyTorch (or TensorFlow) for training and debugging deep learning models.
• Shipped at least one computer vision model to production, and can explain the trade-offs made along the way.
• Solid grasp of CNN and transformer architectures for detection, segmentation and classification.
• Experience with OpenCV and image/video processing: decoding streams, preprocessing, augmentation.

Responsibilities

• Design, train and fine-tune models for object detection, classification, segmentation, tracking and anomaly detection on real customer video and images.
• Adapt pretrained and foundation models (YOLO-family detectors, ViTs, CLIP-style and vision-language models) to new customer use cases with limited labeled data.
• Own data pipelines end to end: curation, labeling guidelines, augmentation, synthetic data, and dataset versioning.
• Optimize models for production and edge hardware using quantization, pruning, distillation, ONNX export and TensorRT, hitting agreed latency and accuracy targets.
• Build evaluation suites with clear metrics (mAP, precision/recall, false-alarm rates per camera-hour) and catch regressions before release.
• Deploy and monitor models in production, diagnose drift and failure cases, and close the loop with retraining.
• Work with product, solutions engineers and customers to turn vague requirements into measurable model specs.
• Write clean, tested, reviewed code and contribute to shared ML tooling.

Skills

Python

PyTorch

TensorFlow

OpenCV

Data pipelines

Education

BS/MS in CS/EE/Math or related

Tools

PyTorch

TensorFlow

OpenCV

Docker

Git

Linux

ONNX

TensorRT

Job description

Chooch is seeking a Machine Learning Engineer (US-based) to design, train, and refine computer vision models for real customer projects. The role involves data preparation, neural network configuration, and deploying models across healthcare, manufacturing, and retail settings.

As part of a solutions-focused team, you will work with customers and engineers to translate requirements into measurable model specs, optimize for edge hardware, and contribute to ML tooling and processes.