Sanas
Principal ML Engineer
Palo Alto, CA · Principal
Sponsorship not specifiedDetected 16 days ago
PythonKafkaMachine LearningDeep LearningTensorFlowPyTorchData EngineeringNLPMLOpsA/B TestingRoadmappingSystems EngineeringSignal ProcessingResearchLeadershipCommunication
About the role
- Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more. Sanas makes conversations clearer,
- more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language. Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$120M ARR.
Responsibilities
- Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences - entirely in-house.
- Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors.
- Optimize models for latency, memory, and real-time performance on CPU/GPU/edge hardware.
Nice to have
- Familiarity with audio data and its unique challenges, like large file sizes, time- series features, metadata handling, is a strong plus.
- Experience with Voice AI models like ASR, TTS and speaker verification.
- Familiarity with real-time data processing frameworks like Kafka, Flink, Druid and Pinot Familiarity with ML workflows including: MLOps, feature engineering, model training and inference.
- Experience with labeling tools, audio annotation platforms, or human-in-the- loop annotation pipelines.
- Experience at a high-growth startup or tech company operating at scale.
- Deep experience with ML tooling for training and serving models, ideally in audio or speech domains (e.g., PyTorch, ONNX, Hugging Face Transformers, torchaudio).
- Experience deploying real-time ASR, TTS, or voice synthesis models in production.
- Background in DSP, audio augmentation, or working with noisy or multilingual datasets.
Skills
- Introduce frameworks for continual learning, model versioning, and A/B testing in production.
Benefits
- We're looking for an experienced and forward-thinking Principal Machine Learning Engineer to lead the design and implementation of our end-to-end Machine Learning infrastructure for industry leading Voice AI products.
This listing is sourced directly from Sanas's careers page and normalized into a canonical job model.