Machine Learning Engineer

Kaedim (Headquarters: San Francisco, Singapore, London)

Python PyTorch AWS Machine Learning AI Deep Learning Computer Vision 3D Modeling ML Engineer Onsite Sponsorship Available Gaming Startup AI Engineer Data Science

About Kaedim:
Kaedim is an AI startup building Machine Learning algorithms that turn images into digital 3D models, aiming to streamline 3D content creation for artists. We are a diverse, growing team (~10) backed by a16z, working with top game developers and partners like Voodoo, Upland, and Azra Games. Our pipeline offers a 10x speed up for game-ready assets. Our culture values being hardworking, relentless, and driving change. We offer accelerated growth, equity, industry exposure, and perks like office snacks and weekly boba runs. US & UK Sponsorship is available.

About the Role:
As a Machine Learning Engineer at Kaedim, you will be at the core of our technology, developing and improving the ML algorithms that convert 2D images into 3D models. You'll work closely with our team of 3D Artists to integrate ML outputs with artistic refinement, pushing the boundaries of AI in 3D content creation.

Responsibilities:
Design, train, and deploy machine learning models for 2D-to-3D reconstruction.
Research and implement state-of-the-art techniques in computer vision and deep learning.
Work with large datasets of images and 3D models.
Optimize models for accuracy, speed, and efficiency.
Collaborate with Software Engineers to integrate ML models into the product pipeline.
Work hand-in-hand with 3D Artists to refine ML outputs and ensure production readiness.
Utilize Python, PyTorch, and AWS for development and deployment.

Technical Skills:
Strong background in Machine Learning, Deep Learning, and Computer Vision.
Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
Experience with cloud platforms, particularly AWS, for ML workloads.
Understanding of 3D geometry, rendering, or graphics pipelines is a plus.
Experience working with image and 3D data.

Ideal Candidate:
PhD or Master’s degree in Computer Science, AI, or related field, or equivalent practical experience.
Passionate about solving challenging problems at the intersection of AI and 3D art.
Enjoys research and applying cutting-edge techniques.
Collaborative, hardworking, and relentless in pursuing innovation.
Excited about the potential of AI to revolutionize creative workflows.