Luma AI
Luma AI is a creative platform that enables users to ideate, visualize, and create stunning images and videos using advanced AI models without the need for complex prompt engineering. Featuring tools like Dream Machine, it allows users to direct videos, create unique characters, make easy edits, and explore endless creative ideas, all through natural language interactions. Luma AI is accessible on iOS and the web, making it a versatile tool for anyone looking to bring their creative visions to life.
Machine Learning • Generative Media • Generative AI • AI Video
Senior Machine Learning Engineer - Hardware Abstractions and Performance Optimization
Yesterday
Luma AI
Luma AI is a creative platform that enables users to ideate, visualize, and create stunning images and videos using advanced AI models without the need for complex prompt engineering. Featuring tools like Dream Machine, it allows users to direct videos, create unique characters, make easy edits, and explore endless creative ideas, all through natural language interactions. Luma AI is accessible on iOS and the web, making it a versatile tool for anyone looking to bring their creative visions to life.
Machine Learning • Generative Media • Generative AI • AI Video
📋 Description
• Luma’s mission is to build multimodal AI to expand human imagination and capabilities. • Looking for engineers with significant experience maintaining & designing highly efficient systems and code that can be optimized to run on multiple hardware platforms. • Ensure efficient implementation of models & systems. • Identify and remedy efficiency bottlenecks by profiling and implementing high-performance PyTorch code. • Benchmarking products across hardware & software to understand tradeoffs between latency, throughput and cost. • Work closely with partners to identify bottlenecks. • Collaborate with research team to ensure systems are planned efficiently and raise potential issues for hardware integration.
🎯 Requirements
• Experience optimizing for memory, latency and throughput in Pytorch. • Experience using torch.compile / torch.XLA. • Experience benchmarking and profiling GPU & CPU code in Pytorch for optimal device utilization. • Experience building tools & abstractions to ensure models run optimally on different hardware and software stacks. • Experience working with transformer models and attention implementations. • Experience with parallel inference, particularly with tensor parallelism, pipeline parallelism.
🏖️ Benefits
• Offers Equity
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🇺🇸 United States – Remote
💵 $90k - $120k / year
💰 Series C on 2021-09
⏰ Full Time
🟠 Senior
📈 Performance Marketing
🦅 H1B Visa Sponsor
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