Nuancelabs

Member of Technical Staff — Pretraining Infra (Experienced)

Seattle, Washington · Staff+

H1B sponsorship available$300k-$400kDetected 40 days ago

ReactDistributed SystemsMachine LearningPyTorchLLMsLogisticsHRISFirewallResearchCommunicationAdaptability

About the role

Direct impact on what models we can train, how fast research can iterate, and how reliably we scale.
Evolve the platform as model architectures, training recipes, data mixtures, sequence lengths, hardware constraints, and research directions change.
Our models are omni from the ground up (audio, video, language, real-time full-duplex), which introduces systems challenges beyond standard

Own the distributed training stack for omni model pretraining, from 0→1 system design to 1→10 scaling across large GPU clusters.
Optimize large-scale training performance across parallelism strategy, GPU communication, memory usage, data throughput, MFU, step time, and end-to-end training efficiency.
Build and operate the core training runtime: job orchestration, distributed execution, checkpointing, recovery, monitoring, and debugging for long-running training jobs.
Build infrastructure for omni training workloads: high-throughput audio/video/text data loading, temporal alignment, variable sequence handling, multimodal synchronization, and memory-efficient training.
We believe diverse teams build better AI.

Practical experience with at least one major large-scale training stack such as Megatron, PyTorch FSDP, DeepSpeed, or equivalent internal infrastructure.
Experience training large omni or multimodal models involving audio, video, text, or long-context temporal data.
Experience with adjacent infrastructure areas such as RL/post-training, data infrastructure, synthetic data generation, evaluation, or serving.

Hands-on experience running large-scale distributed training jobs across large GPU clusters
experience at hundreds of GPUs minimum, 1,000+ GPUs a strong plus.

$300,000 - $400,000 base salary, plus meaningful equity. We think long-term ownership matters and structure equity accordingly.
Visa sponsorship: We sponsor visas (O-1, H-1B, green card) from day one.
AI-native tooling: Do your best work with the best tools, including unlimited tokens.

Health: HSA plan with ~$2,000 in annual company contributions - roughly 2x what most big tech companies put in.
Time off: 15 days of PTO plus public holidays, and we close the office for a full week at year-end.
Commuter benefits: We help cover the cost of getting to the office.

About Nuance Labs
Labs is building photorealistic, real-time AI avatars with emotional intelligence:
a full-duplex audiovisual system that can listen, speak, react, interrupt, and respond like a real person.
We're a research company, with PhDs from MIT, UW, Oxford, CMU, and Johns Hopkins, and industry experience from Apple, Meta, Amazon AGI, and Discord.
The team is small, the work is real, and the problems are unsolved.
How Nuance Differentiates
Most conversational AI avatars today are hacks - a face slapped on a speech-to-speech pipeline, stuck in the uncanny valley: emotionless, mechanical, one-turn-at-a-time.
Current systems take 2-5 seconds to respond; natural conversation requires sub-500ms.
That's a 10x improvement, and it demands rethinking the entire stack.
We're looking for a deeply technical MTS to own distributed training infrastructure for large-scale omni model pretraining.

This listing is sourced directly from Nuancelabs's careers page and normalized into a canonical job model.