Hybrid ML Engineer: Computer Vision in Production

Chooch; San Mateo (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401K match

Paid time off

Job summary

Chooch is hiring a Machine Learning Engineer (US-based, hybrid in the Bay Area) to design, train, and deploy computer vision models for healthcare, manufacturing, and retail customer projects. You will own data pipelines, model optimization for edge hardware, and monitoring in production, collaborating with solutions engineers and customers.

The role requires strong Python/PyTorch expertise, hands-on CV experience, and the ability to transform vague requirements into concrete model specs with

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.

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 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

Computer vision

CNN & Transformers

Model optimization

Cloud GPUs

Communication

Education

BS in CS/EE/Math

Tools

OpenCV

Docker

Git

Linux

ONNX

TensorRT

Kubernetes

MLflow

Weights & Biases

Job description

Chooch is hiring a Machine Learning Engineer (US-based, hybrid in the Bay Area) to design, train, and deploy computer vision models for healthcare, manufacturing, and retail customer projects. You will own data pipelines, model optimization for edge hardware, and monitoring in production, collaborating with solutions engineers and customers.

The role requires strong Python/PyTorch expertise, hands-on CV experience, and the ability to transform vague requirements into concrete model specs with