Remote Perception Engineer - Computer Vision & ML Expert

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

Benefits offered by this job

100% remote work

Hardware provided

Flexible hours

Parental leave

Competitive salary in USD or local

Job summary

BairesDev is seeking a Perception Engineer to design and implement production-grade computer vision models for object detection, segmentation, and classification. You will develop deep learning pipelines, train and optimize models, and push real-time inference on edge devices.

Join a fully remote team and work with the world’s top tech talent. You’ll use PyTorch, OpenCV, and architectures like YOLO/Detectron/SAM, with strong English communication and flexible scheduling.

Qualifications

• 4+ years in software engineering, ML or computer vision.
• Proven experience in developing CV models for detection, segmentation and classification.
• Strong Python and deep learning framework skills (PyTorch).
• Hands-on with OpenCV and architectures like YOLO, Detectron or SAM.
• Experience with GPU-accelerated ML workloads and edge deployment.
• Excellent English communication skills.

Responsibilities

• Develop and optimize deep learning models for computer vision tasks using PyTorch and OpenCV.
• Design robust pipelines for real-time object detection, image segmentation, and classification.
• Implement model training and optimization strategies to improve performance.
• Accelerate ML workloads leveraging GPUs for low-latency inference.
• Collaborate with engineering teams to deploy vision models on edge devices and production environments.
• Refine perception algorithms to handle diverse environments and conditions.

Skills

Python

PyTorch

OpenCV

GPU acceleration

English

Tools

YOLO

Detectron

SAM

Edge deployment

Job description

BairesDev is seeking a Perception Engineer to design and implement production-grade computer vision models for object detection, segmentation, and classification. You will develop deep learning pipelines, train and optimize models, and push real-time inference on edge devices.

Join a fully remote team and work with the world’s top tech talent. You’ll use PyTorch, OpenCV, and architectures like YOLO/Detectron/SAM, with strong English communication and flexible scheduling.