Unconventionalinc
AI Systems, Training
Palo Alto, CA I US Remote
Sponsorship not specifiedDetected 49 days ago
Node.jsAlgorithmsMachine LearningPyTorchNLPElectrical EngineeringHardware DesignResearchCommunicationCollaboration
About the role
- You will be a key contributor to our training ecosystem.
Responsibilities
- The Training Infrastructure: Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration. Implement and robust model checkpointing and recovery mechanisms.
- Optimization & Benchmarking: Develop and optimize kernels using low-level programming models like CUDA andTriton. Design rigorous benchmarking suites to track Model Flops Utilization (MFU), memory bandwidth, and convergence stability.
- You will co-design and implement training systems alongside novel AI models and hardware platforms that push the boundaries of physics-based compute.
- Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration.
Requirements
- Demonstrated ability to map state-of-the-art AI model architectures (e.g., transformers, Mixture of Experts, diffusion models) to system performance implication.
- Deep expertise in how models are partitioned across a cluster, with a mastery of communication primitives, and parallelism strategies.
- The Mission: Redefine computing for the next 50 years by solving the fundamental energy limitation of AI at a global scale.
Benefits
- A comprehensive package including best-in-class health benefits, 401k matching, truly unlimited PTO, and complimentary meals in our Palo Alto office.
- Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models.
- Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors.
Company info
- At Unconventional, our mission is to solve this.
- We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient.
- Your goal is to build the next-generation ML model training platform tailored for a world where compute is no longer constrained by the digital abstraction.
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