Computer Vision Researcher - Remote Work | REF#299872
Indexed description
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 Computer Vision Researcher, you will specialize in developing advanced machine learning models for image and video analysis. You will translate complex visual data into intelligent insights, ensuring high-performance execution for tasks like object detection, segmentation, and classification across various environments.
What You'll Do
- Design and implement state-of-the-art computer vision algorithms using PyTorch and OpenCV.
- Develop and optimize deep learning models for object detection, segmentation, and OCR.
- Fine-tune and retrain models to ensure high accuracy and reliability for specific real-world use cases.
- Optimize model performance for GPU acceleration and efficient deployment on edge devices.
- Collaborate with engineering teams to integrate vision-based solutions into scalable production systems.
- Conduct research and experiments to identify innovative solutions for complex visual recognition challenges.
- 4+ years of experience in Software Engineering, Machine Learning, or a related field.
- Proven expertise in Computer Vision tasks including object detection, segmentation, classification, and OCR.
- Proficiency in Python and deep learning frameworks, specifically PyTorch and OpenCV.
- Experience with model training, optimization, and deployment using YOLO, Detectron, or SAM.
- Hands-on experience with GPU acceleration and edge deployment strategies.
- Advanced proficiency in English.
- 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.
Apply now!
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search