Machine Learning Engineer
2 weeks ago
PLEASE FILL THIS FORM TO APPLY
About Matrice AI
Matrice AI is a leading innovator in the AI and machine learning space, dedicated to creating transformative solutions powered by cutting-edge technology. We specialize in machine learning applications that drive real-world impact, with a strong focus on video processing, vision applications, and vision-language models. Our team is expanding, and we are looking for a highly skilled Machine Learning Engineer to join us and help shape the future of AI.
Job Description
We are seeking an experienced Machine Learning Engineer with excellent programming skills , a solid computer science background , and hands-on experience with vision applications , particularly in video processing and vision-language models . In this role, you will develop and optimize machine learning models for vision-based tasks, from video analysis to creating vision-language models that combine visual understanding and natural language processing. This is a fantastic opportunity to work at the cutting edge of AI, solving complex challenges in computer vision and language processing.
Key Responsibilities
- Design, develop, and deploy machine learning models for video processing and vision applications , including object detection, segmentation, tracking, and analysis.
- Work on vision-language models that combine visual and text data to create applications like image captioning, visual question answering (VQA), and other multi-modal tasks.
- Develop algorithms and models that can process, analyze, and understand video data efficiently.
- Leverage state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch) to build and optimize computer vision models.
- Optimize models for real-time video processing, improving accuracy, speed, and scalability.
- Collaborate with other AI engineers, data scientists, and software developers to integrate vision-based models into production systems.
- Contribute to the full lifecycle of machine learning projects, from research and development to deployment and monitoring.
- Stay updated with the latest advancements in computer vision, video processing, and vision-language models, and apply best practices in AI model development.
- Contribute to the full lifecycle of machine learning projects, from research and development to deployment and monitoring.
- Collaborate with other AI engineers, data scientists, and software developers to integrate vision-based models into production systems.
- Optimize models for real-time video processing, improving accuracy, speed, and scalability.
- Leverage state-of-the-art deep learning frameworks (e.g., TensorFlow, PyTorch) to build and optimize computer vision models.
- Develop algorithms and models that can process, analyze, and understand video data efficiently.
- Work on vision-language models that combine visual and text data to create applications like image captioning, visual question answering (VQA), and other multi-modal tasks.
Requirements
- Proven experience as a Machine Learning Engineer or AI Engineer , with a strong focus on vision applications and video processing .
- Excellent programming skills in languages such as Python , C++ , or similar.
- Solid background in computer science , including strong knowledge of algorithms , data structures , and software development principles.
- Hands-on experience with computer vision technologies, such as OpenCV , TensorFlow , PyTorch , and deep learning models for image/video recognition, segmentation, tracking, and analysis.
- Experience working with vision-language models (e.g., CLIP, Visual BERT, etc.) and multi-modal AI tasks.
- Familiarity with real-time video processing challenges and optimizations.
- Strong understanding of machine learning frameworks, including model development, training, and evaluation.
- Experience with version control tools like Git and collaborative development workflows .
- Excellent problem-solving skills, creativity, and a deep passion for AI and machine learning.
- Good communication skills and the ability to collaborate with cross-functional teams.
- Excellent problem-solving skills, creativity, and a deep passion for AI and machine learning.
- Experience with version control tools like Git and collaborative development workflows .
- Strong understanding of machine learning frameworks, including model development, training, and evaluation.
- Familiarity with real-time video processing challenges and optimizations.
- Experience working with vision-language models (e.g., CLIP, Visual BERT, etc.) and multi-modal AI tasks.
- Hands-on experience with computer vision technologies, such as OpenCV , TensorFlow , PyTorch , and deep learning models for image/video recognition, segmentation, tracking, and analysis.
- Solid background in computer science , including strong knowledge of algorithms , data structures , and software development principles.
- Excellent programming skills in languages such as Python , C++ , or similar.
Nice to Have
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment and scaling.
- Knowledge of Reinforcement Learning and its application in vision-based systems.
- Familiarity with CI/CD pipelines for machine learning model deployment.
- Experience with edge computing for real-time vision and video processing.
- Previous work on cutting-edge AI models or publications in related fields.
- Experience with edge computing for real-time vision and video processing.
- Familiarity with CI/CD pipelines for machine learning model deployment.
- Knowledge of Reinforcement Learning and its application in vision-based systems.
Why Join Matrice AI?
- Work on innovative AI projects at the intersection of computer vision and natural language processing.
- Collaborate with an experienced, dynamic team of engineers and researchers.
- Flexible, remote-first work culture with a focus on work-life balance.
- Competitive salary and benefits package.
- Opportunities for career growth and continuous learning in the rapidly evolving AI field.
- Competitive salary and benefits package.
- Flexible, remote-first work culture with a focus on work-life balance.
- Collaborate with an experienced, dynamic team of engineers and researchers.
If you are passionate about building intelligent systems that process and understand video data, vision applications, and vision-language models, and if you want to work on groundbreaking projects in AI, we would love to hear from you.
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