Unconventionalinc
Member of Technical Staff - AI Training Platform
Mountain View, CA or Greater Seattle Area. Posted 2 months ago
The role
You will build and scale the end-to-end tooling required to train, evaluate, and benchmark models. You will architect and maintain the core AI/ML/RL training platform and infrastructure.
What you will do
- Architect, scale, and maintain the core AI/ML/RL training platform and infrastructure.
- Design and scale multi-node distributed training systems.
- Implement elastic sharding and robust data streaming pipelines.
- Implement robust model checkpointing and recovery mechanisms.
- Maintain and expand the proprietary training framework.
- Develop and optimize kernels using low-level programming models like CUDA and Triton.
- Design benchmarking suites to track Model Flops Utilization, memory bandwidth, and convergence stability.
- Build and iterate on tooling to enable rapid evaluation of novel hardware ideas.
- Discuss algorithmic trade-offs with theorists and convert model requirements into specifications.
- Design systems to track and visualize quality-vs-efficiency Pareto frontiers.
Required qualifications
- BS in Computer Science, Physics, Electrical Engineering, or Applied Math.
- 5+ years of experience in AI/ML engineering.
- Demonstrated ability to map state-of-the-art AI model architectures to system performance implication.
- Deep expertise in how models are partitioned across a cluster, with a mastery of communication primitives, and parallelism strategies.
- Strong programming skills in Python or C++.
- Proven track record of implementing, debugging, and maintaining production-grade training frameworks such as Megatron-LM, DeepSpeed, Ray, PyTorch Lightning.
Nice to have
- MS/PhD or equivalent research/project experience in AI/ML or high-performance computing, with publications
- Experience in training, post-training large-scale LLMs and generative models.
- Experience in Kubernetes, GPU kernels and performance tuning, LLM inference, CUDA, Triton, NCCL, vLLM, SGLang, VeRL, TRL.
Benefits
- Competitive salary
- Significant equity
- Best-in-class health benefits
- 401k matching
- Truly unlimited PTO
- Complimentary meals when working from our Palo Alto office
About the company
Unconventional is rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient by exploiting the rich physics of semiconductors.