Senior Machine Learning Engineer; Computer Vision - Remote Work

Machine Learning Engineer (Computer Vision)

As a Machine Learning Engineer (Computer Vision), you will develop and enhance advanced visual AI systems and data pipelines for autonomous applications. You will translate complex computer vision algorithms into scalable production solutions, ensuring high accuracy and reliability in real-world scenarios.

• Design and implement computer vision models for object detection and image segmentation
• Develop and optimize deep learning architectures to solve complex visual recognition challenges
• Build and maintain scalable data pipelines to process real‑time visual data for production environments
• Support data mining and training data quality initiatives to improve model performance
• Collaborate with cross‑functional teams to integrate visual AI features into broader ecosystems
• Evaluate and refine model performance to ensure efficiency and scalability across diverse use cases.

• 4+ years of experience in Machine Learning Engineering, Computer Vision, or Applied ML.
• Proven expertise in building and improving computer vision models and data pipelines for autonomous systems.
• Proficiency in Python and deep learning frameworks such as PyTorch or Tensor Flow.
• Hands‑on experience with data mining, training data quality, and model development for real‑world ML applications.
• Strong understanding of SQL and scalable data pipeline architectures.
• 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 leave, 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.