Perception Engineer
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. As a Perception Engineer, you will design and implement advanced computer vision systems to help machines understand and interpret their environment. You will be responsible for building production-grade ML models that power tasks like object detection, segmentation, and classification, ensuring high accuracy and efficiency in real-world scenarios.
What You'll Do
• 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 enhance performance and accuracy.
• Accelerate ML workloads leveraging GPU technologies to ensure low-latency inference.
• Collaborate with engineering teams to deploy vision models on edge devices and production environments.
• Continuously refine perception algorithms to handle diverse and dynamic environmental conditions. What We Are Looking For
• 4+ years of experience in Software Engineering, Machine Learning, or Computer Vision.
• Proven expertise in developing computer vision models for object detection, segmentation, and classification.
• Strong proficiency in Python and deep learning frameworks such as PyTorch.
• Hands-on experience with OpenCV and specialized architectures like YOLO, Detectron, or SAM.
• Proficiency in model training, optimization, and GPU acceleration techniques.
• Advanced proficiency in English. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now
What You'll Do
• 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 enhance performance and accuracy.
• Accelerate ML workloads leveraging GPU technologies to ensure low-latency inference.
• Collaborate with engineering teams to deploy vision models on edge devices and production environments.
• Continuously refine perception algorithms to handle diverse and dynamic environmental conditions. What We Are Looking For
• 4+ years of experience in Software Engineering, Machine Learning, or Computer Vision.
• Proven expertise in developing computer vision models for object detection, segmentation, and classification.
• Strong proficiency in Python and deep learning frameworks such as PyTorch.
• Hands-on experience with OpenCV and specialized architectures like YOLO, Detectron, or SAM.
• Proficiency in model training, optimization, and GPU acceleration techniques.
• Advanced proficiency in English. How we do make your work (and your life) easier:
• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact Apply now