Machine Learning/AI Engineer

Imagine.io is a core 3D graphics technology platform that helps business users curate beautiful content in 3D with no prior engineering or 3D design background. The Imagine.io platform is built on cutting-edge real-time 3D graphics technology along with cloud-based rendering technology all wrapped into an easy-to-use interface.

Think of us like Canva for 3D

-Save 70% on costs of creating 3D photorealistic product shots

-Save 80% on shoots and production time

-Get a massive lift on conversion rates from 55% - to over 500%

-Sell pre-orders from prototypes before manufacturing

-empowers users to produce high-quality content like images, videos, interactive web and augmented reality experiences in minutes

Trusted by over 150+ leading manufacturers and retailers.

We have raised a total of $7.5+ M in the Seed Plus funding round. Our latest funding was raised on Dec 9, 2021. We are backed by the TOP Investors in the United States - Venture South, Launch, CEAS Investments, Mercato Partners, Parkwest LLC.

Headquarters

Winston-Salem, North Carolina

Job Summary

We are currently seeking a talented and highly motivated Machine Learning & AI Engineer to join our dynamic team. As a leading platform in the field of 3D rendering and content creation (images, videos, AR viewers, and product configurators), we are looking to enhance our capabilities by integrating the power of AI and machine learning. This role will involve developing and implementing advanced machine-learning algorithms and models to empower our customers in creating realistic content efficiently. Additionally, you will enable them to effortlessly generate 3D models using various mediums such as text, images, and drawings. The ideal candidate will possess a strong passion for leveraging cutting-edge technologies and will bring prior experience in training image-based machine-learning models.

Key Responsibilities

• Design, develop, and implement state-of-the-art machine-learning algorithms and models to enhance our platform's capabilities and enable customers to create realistic content more efficiently.
• Utilize AI techniques to enable content generation through various modalities, including text, images, and drawings, enabling users to create 3D models seamlessly.
• Conduct thorough research, staying up-to-date with the latest advancements in machine learning and AI, and integrating them into our platform where appropriate.
• Conduct rigorous testing and validation of machine-learning models, ensuring their robustness and reliability in real-world scenarios.
• Document research findings, methodologies, and implementations in clear and concise reports and presentations.
• Optimize and fine-tune machine-learning models for performance, accuracy, and scalability.
• Collaborate with our cross-functional team to integrate machine-learning models into our existing infrastructure, ensuring seamless deployment and scalability.

Requirements

• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 5+ years of Total Experience and 3+ years relevant exp in developing and training generative AI models using frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of machine-learning principles, algorithms, and techniques, with hands-on experience in developing and implementing machine-learning models.
• Proficiency in training image-based machine-learning models, with a proven track record of successfully applying them to real-world problems.
• Must have a solid understanding of Generative AI models, including GANs, Transformers, Autoencoders, and their variations.
• Proficient in programming languages commonly used in machine learning, such as Python. Additionally, being familiar with languages like C++ and MATLAB, which are often employed in machine learning research and development would be an add-on.

Good to have

• Prior experience in the field of 3D modeling, rendering, or computer graphics would be a plus.
• In-depth knowledge of computer vision algorithms, & image processing techniques.
• Experience with common computer vision tasks, such as object detection, image segmentation, and tracking
• Prior experience in computer vision projects, with a focus on deep learning-based approaches.

Benefits

• Build products from scratch and be part of decision-making with the TOP authorities
• Hybrid Work Mode
• Open culture with flexible timings
• Learning, Growth & Onsite Opportunities
• Be on the cutting edge of the 3D revolution

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