Job Description
Responsibilities
-
Operationalize Research: Collaborate with researchers to move models from experimental checkpoints to production-ready systems. Establish patterns for large-scale training, rapid experimentation, and deployment of new architectures.
-
Optimize Model Performance: Profile and improve model inference for latency and throughput using quantization, pruning, distillation, and architectural refinements to ensure viable unit economics
-
Model Acceleration: Apply optimization techniques (TensorRT, ONNX, vLLM) to accelerate multimodal models including video diffusion, LLMs, and speech models
-
Design Data Pipelines: Design and implement efficient pipelines for video data ingestion, preprocessing, and training at petabyte scale using tools like Dagster and Ray.
-
Evaluate and Iterate: Build evaluation frameworks to measure model quality, establish benchmarks, and guide continuous improvement of model capabilities.
Requirements
- Production ML: Experience deploying ML models to production. You understand common failure modes and how to address them (resource contention, OOMs, batch optimization)
-
Deep Learning Experience: Strong knowledge of PyTorch and modern ML architectures. Experience training and optimizing large models (transformers, diffusion models, or similar).
-
Systems Proficiency: Comfortable working with GPUs, debugging CUDA issues, and profiling model workloads to identify compute or memory bottlenecks.
-
Data Engineering: Experience building scalable data pipelines for high-bandwidth media processing and training workflows.
Preferred Experience
-
Experience with video or audio models in research or production settings
-
Familiarity with low-level optimization (CUDA kernels, Triton, custom operators)
-
Knowledge of real-time ML systems and latency-critical inference
-
Prior work with model compression techniques (quantization, distillation, pruning)
Nuance Labs Key Facts
-
$10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels including Synthesia’s former CPO.
-
A world-class team of PhDs from MIT, UW, and Oxford with decades of industry experience at Apple and Meta, advancing real-time avatars from cutting-edge research to products used by millions.
-
In-person collaboration, 5 days a week at Seattle HQ
Optimize Your Resume for This Job
Get a match score and see exactly which keywords you're missing
Job Details
- Category
- Software
- Employment Type
- Full Time
- Location
- Washington, CA
- Posted
About Nuance Labs
Nuance Labs is building a real-time human foundation model that brings social and emotional intelligence to voice, face, and body — what makes interaction human.
More Roles at Nuance Labs
Similar Software Roles
Found this role interesting?