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EM
Embedding Vc
Member of Technical Staff - Efficient ML
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Location
San Francisco Bay Area
Work mode
on-site
Type
full-time
Department
Moonlake
Last seen
23h ago
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
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Nsight profiling, Triton/CUDA kernels, fused ops.
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Flash-attention–style speedups, sequence packing, KV-cache tricks.
Inference optimization
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Low-latency serving, continuous batching, speculative decoding.
•
Quantization (GPTQ/AWQ), distillation, pruning.
Infra + reliability
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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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