Remote Staff Computer Vision/AI Engineer (Remote - US)

Description:

• This position is for a Staff Computer Vision/AI Engineer at BrightAI, located in the United States.
• The role involves leading the development of advanced computer vision and AI systems for real-time decision-making across various devices and services.
• Responsibilities include managing the end-to-end lifecycle of computer vision and machine learning models, from data collection and labeling to production deployment and monitoring.
• The engineer will research, design, and implement deep learning models for tasks such as detection, segmentation, classification, tracking, and real-time inference.
• The position requires driving projects from prototyping to production while aligning with product goals and platform requirements.
• Collaboration with product, hardware, and cloud teams is essential to deliver integrated AI features.
• The engineer will architect scalable and reliable AI systems to address complex real-world challenges.
• Prioritizing and managing multiple initiatives to optimize model performance, reliability, and compliance is a key responsibility.
• Staying updated on the latest AI/ML advancements and incorporating relevant innovations into the product roadmap is expected.

Requirements:

• Candidates must have 7+ years of professional experience in computer vision and machine learning, with deep expertise in applied deep learning.
• A proven track record of delivering production-grade AI/ML solutions in fast-paced environments is required.
• Comprehensive experience across the ML development lifecycle, including data curation, model training, evaluation, optimization, and deployment, is necessary.
• Proficiency in deep learning frameworks such as PyTorch or TensorFlow and strong programming skills in Python are essential; C++ knowledge is a plus.
• Hands-on experience with CNNs, YOLO, Vision Transformers, model compression techniques, and real-time inference optimization is required.
• Experience deploying models on cloud platforms (AWS, GCP, Azure) and edge devices using tools like TensorRT, ONNX, or TFLite is necessary.
• Strong analytical and problem-solving skills with the ability to translate ambiguity into actionable solutions are essential.
• Excellent teamwork and communication skills to work cross-functionally with software, hardware, and product teams are required.
• A PhD in Electrical Engineering, Computer Science, or a related field, with demonstrated research excellence in computer vision, is mandatory.

Benefits:

• The position offers a competitive salary and equity compensation package.
• A flexible remote work environment is provided.
• Comprehensive health, dental, and vision insurance plans are included.
• Professional development opportunities and conference support are available.
• The company promotes a supportive and collaborative culture focused on innovation and growth.
• Modern equipment and tools will be provided to support your work.