About the Role

As a Machine Learning Engineer, you will play a key role in advancing our machine learning models that power our 2D-to-3D pipeline. You’ll be responsible for developing, optimizing, and deploying ML algorithms that enhance the efficiency and accuracy of our AI tools, enabling us to deliver production-ready 3D models faster than ever.

Responsibilities

• Collaborate with cross-functional teams, including software engineers and 3D artists, to design, develop, and implement machine learning models for image-to-3D model conversion.
• Build and optimize machine learning algorithms for computer vision, deep learning, and generative models, improving the speed and quality of 3D model generation.
• Work on model optimization and scaling to ensure the robustness of AI solutions and manage the efficient processing of large-scale data.
• Conduct continuous research and stay up-to-date with the latest machine learning advancements, applying them to improve the technology stack.
• Continuously test and evaluate models, fine-tuning them based on performance feedback and customer needs.

Requirements

• Strong experience in machine learning and deep learning techniques, with a focus on computer vision, image processing, or generative models.
• Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or Keras.
• Solid experience with data preprocessing, cleaning, and augmentation for training machine learning models.
• Hands-on experience with model deployment and versioning
• Strong understanding of machine learning frameworks and optimization techniques to ensure the scalability and efficiency of models.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying machine learning models and managing large datasets.
• Experience in developing and presenting proof of concepts (PoCs) to demonstrate the feasibility and potential of machine learning solutions for real-world applications.
• Strong problem-solving skills and the ability to troubleshoot complex issues in model development and deployment.
• Excellent collaboration and communication skills to work with cross-functional teams and effectively communicate complex concepts to non-technical stakeholders.