Machine Learning Engineer

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Chaos

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🥽 AR/VR

📱 Media

🎮 Gaming

AR/VR • Media • Gaming

Chaos is a company that specializes in providing industry-leading tools for photorealistic rendering, real-time visualization, and 3D product visualization. They offer products such as V-Ray, Enscape, and Corona, which cater to various industries including architecture, media and entertainment, and e-commerce. Their solutions are designed to help professionals create compelling visual content by improving workflows, enhancing real-time user experiences, and delivering stunning visuals for films, games, and product designs.

📋 Description

• Design, develop, and optimize machine learning models in one or more solutions, including asset generation and capture, render enhancement, scene intelligence, agentic design workflows, and intuitive design interactions. • Investigate and bring techniques from a variety of AI research areas, such as diffusion, super-resolution, conditioned generation, plus neural and differentiable rendering, into artists’ hands. • Evaluate, integrate, and orchestrate off-the-shelf third-party foundation models to accelerate feature development and deployment. • Mentor other engineers and contribute to the growth of the team’s knowledge and expertise in machine learning. • Collaborate with cross-functional teams and our ML Product Manager to define the product requirements and scope of delivery of solutions to product teams. • Work closely with our MLOps Engineer to develop and maintain pipelines for distributed training, inference optimization/quantization/serving, experiment tracking, model versioning & validation, and deployment to the cloud (AWS/Azure/GCP). • Implement appropriate model evaluation tests, data curation processes, and apply dataset-rights awareness, and responsible AI/governance. • Stay updated and share knowledge on the latest developments in machine learning, generative AI, natural language processing, and 3D visualization, and implement cutting-edge techniques to enhance our solutions. • Ensure high-quality code and documentation, following best practices in software development and machine learning.

🎯 Requirements

• 5+ years of experience in software development and at least 3 years of experience in developing machine learning models and deploying them in production environments. • Strong expertise in one or more of relevant fields, including: generative AI / foundation models, diffusion, NLP/LLMs, 3D computer graphics, geometry processing, asset generation, and scene understanding. • Proficiency in Python and machine learning frameworks such as PyTorch is required. • Knowledge in other languages such as C++, C# and TypeScript, and MLOps systems such as MLFlow, RunPod, is encouraged. • Master’s/PhD in Computer Science, Machine Learning, or a related field (or demonstrable equivalent) strongly preferred.

🏖️ Benefits

• Hybrid or remote working options