Sanas
Staff+ Data Engineer (ML Infrastructure)
Palo Alto, California · Staff+
Sponsorship not specifiedDetected 46 days ago
SnowflakeDatabricksAWSMachine LearningSparkAirflowData EngineeringMLOpsDesign SystemsRoadmappingSystems EngineeringResearchLeadershipCommunication
About the role
- Our models are only as good as the data that trains them.
- Delta Lake), partitioning strategies, metadata management, and schema evolution - with a bias toward reproducibility and auditability.
- Instrument pipelines with observability, data quality checks, lineage tracking, and alerting - so failures surface fast and root causes are traceable.
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.
- As a Staff Data Engineer, you'll own the infrastructure that takes raw audio - millions of hours across accents, languages, noise conditions, and recording environments - and turns it into clean, reproducible, training-ready data at scale.
- You'll work directly with AI research scientists and ML engineers to design systems that move fast without breaking the data quality guarantees our models depend on.
Requirements
- 5+ years of experience in data engineering, ML infrastructure, or data platform roles.
- Hands-on experience with cloud data platforms - Snowflake, Databricks, or ClickHouse - and object storage (S3, GCS) on AWS or GCP.
- Proven ability to work directly with ML researchers and engineers to translate model requirements into data infrastructure decisions.
- Direct experience with audio data pipelines - file handling at scale, time-series features, speaker metadata, or audio annotation tooling.
- Familiarity with ASR, TTS, or speech enhancement model training workflows and the data requirements specific to each.
- Experience with MLOps tooling - experiment tracking, dataset versioning (DVC, LakeFS), and training pipeline orchestration.
Company info
- 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.
- 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.
This listing is sourced directly from Sanas's careers page and normalized into a canonical job model.