Machine Learning Engineer
Actively Hiring
Full-time Posted 8 months ago
Role overview
This team is looking for strong Machine Learning Engineers with
deep experience in GPU optimization,
systems-level performance, and large-scale model development. You’ll contribute to building advanced generative models and help bring research-driven breakthroughs into production environments used by real creators.
Responsibilities
- check_circle Drive research and development efforts in computer vision, with a focus on generative image and video models
- check_circle Build and optimize high-performance training and inference pipelines across GPUs
- check_circle Work closely with engineering and product teams to bring cutting-edge ML capabilities into production
- check_circle Contribute to systems and tooling that enable real-time or interactive creative workflows
Basic qualifications
- 5+ years of relevant engineering or ML research experience (computer vision, graphics, generative models, or similar)
- Strong experience with CUDA, C++, and low-level performance optimization
- Proficiency with modern ML frameworks such as PyTorch or TensorFlow
- Ability to write clean, maintainable research and production code
- Interest in human-in-the-loop creative systems and emerging generative media tools
- Comfort working in a fast-moving environment with tight iteration cycles
- Strong communication and collaboration skills
Tags & Focus Areas
Fulltime Remote Ai Machine Learning
About kadence
Machine Learning Engineer – GPU & Systems Optimization
Industry Fulltime