Job Url: https://www.linkedin.com/jobs/view/4342903993/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=rHHtufYyZgTQjhDw9sWmAw%3D%3D&trackingId=jAOR9LGaY0Czm9hE9Bb4rg%3D%3D

Job Description: Machine Learning Engineer

United States · 16 minutes ago · 17 applicants

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Meet the hiring team


Aimee Sharpe 

• 3rd

Principal Recruiter | Kadence | AI + ML Talent Solutions

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About the job
Machine Learning Engineer – GPU & Systems Optimization

Remote (North America or Europe)



A stealth AI company at the forefront of generative media is expanding its core technical team. The group is building next-generation multimodal systems that push the boundaries of how images, video, and interactive content are created. Their work is quickly becoming foundational for a wide range of creative workflows, from filmmaking and design to new digital experiences.

The team is made up of ambitious, deeply technical engineers and researchers who thrive in high-ownership environments and care about building tools that meaningfully shape the future of creative production.



About the Role

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.



What You'll Do

Drive research and development efforts in computer vision, with a focus on generative image and video models
Build and optimize high-performance training and inference pipelines across GPUs
Work closely with engineering and product teams to bring cutting-edge ML capabilities into production
Contribute to systems and tooling that enable real-time or interactive creative workflows


What You'll Need

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

Requirements added by the job poster