Embedding VC
Member of Technical Staff - Efficient ML
5mo ago
USALeadgpucudansightslurmk8squantizationpruningdistillation
Machine learning engineer focused on training efficiency, inference optimization, and infrastructure reliability for AI simulations.
Other
- Introducing Moonlake, AI for creating world simulations.
- Dataloaders, fusion, activation remat, gradient checkpointing.
- FSDP/ZeRO/tensor+pipeline parallel; NCCL tuning.
- Nsight profiling, Triton/CUDA kernels, fused ops.
- Flash-attention–style speedups, sequence packing, KV-cache tricks.
- Low-latency serving, continuous batching, speculative decoding.
- Quantization (GPTQ/AWQ), distillation, pruning.
- SLURM/K8s multi-node jobs, checkpoint hygiene.
- Determinism, env pinning, GPU failure handling.
- We are committed to being an on-site, in-person team currently based in San Mateo