USA | Remote•Ann Arbor, MI•San Francisco, CA
Remote
Senior
Full Time
2 days ago
💰$ 150,000 - $ 250,000
machine learningspeech recognitionAIresearch engineerremote
Requirements
- •Strong experience with machine learning research pipeline, particularly in STT or related speech domains
- •Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect
- •Familiarity with ML lifecycle tools such as MLflow
- •Experience building internal tools or dashboards for non-technical users
- •Hands-on experience with data engineering practices for unstructured audio and text data
- •Comfortable working in cross-functional teams including researchers, engineers, and product stakeholders
What You'll Do
- •Architect and manage horizontally scalable systems for training Speech-to-Text (STT) and Text-to-Speech (TTS) models
- •Design and implement internal UIs and tools for ML systems accessible to non-technical stakeholders
- •Oversee and manage training tooling, job orchestration, experiment tracking, and data storage
- •Prototype and validate novel modeling ideas with research scientists
- •Scale models through robust training systems for speech technologies, internal tooling, and data strategies
Benefits
- •Medical, dental, vision benefits
- •Annual wellness stipend
- •Mental health support
- •Life, STD, LTD Income Insurance Plans
- •Unlimited PTO
- •Generous paid parental leave
- •Flexible schedule
- •12 Paid US company holidays
- •Quarterly personal productivity stipend
- •One-time stipend for home office upgrades
- •401(k) plan with company match
- •Tax Savings Programs
- •Learning / Education stipend
- •Participation in talks and conferences
- •Employee Resource Groups
- •AI enablement workshops / sessions
