Remote Machine Learning Engineer

Description:

• Collaborate with cross-functional teams to enhance AI-driven infrastructure intelligence.
• Research and experiment with advanced Machine Learning tools and techniques.
• Train and deploy machine learning models for object detection and classification in images and videos.
• Design and implement predictive models to analyze trends and support decision-making.

Requirements:

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or related field.
• 5+ years of experience as a Computer Vision Engineer and 10+ years in software development and machine learning.
• Strong knowledge of machine learning concepts, algorithms, and proficiency in Python, C++, TensorFlow or PyTorch.
• Experience in computer vision techniques, particularly object detection (e.g., YOLO) and familiarity with predictive analytics tools.
• Knowledge of cloud platforms (AWS) and MLOps practices.
• Proficiency in spoken and written English.

Benefits:

• Options for medical, dental, and vision coverage for employees and dependents (for US employees).
• 401(k) with 3% company matching, unlimited PTO, and profit sharing.
• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA).
• Opportunities for learning and development from a diverse and talented peer group.