Member of Technical Staff - Efficient ML
Introducing Moonlake, AI for creating world simulations.
Scope of Work
Training efficiency
Dataloaders, fusion, activation remat, gradient checkpointing.
FSDP/ZeRO/tensor+pipeline parallel; NCCL tuning.
GPU + kernel performance
Nsight profiling, Triton/CUDA kernels, fused ops.
Flash-attention–style speedups, sequence packing, KV-cache tricks.
Inference optimization
Low-latency serving, continuous batching, speculative decoding.
Quantization (GPTQ/AWQ), distillation, pruning.
Infra + reliability
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
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