ML/AI Founding Engineer
Tasks
- Architect scalable ML infrastructure
- Assess pilot performance
- Build audio separation systems
- Build multimodal reasoning systems
- Build speaker diarization systems
- Build speech-to-text systems
- Combine audio telemetry and contextual knowledge
- Deploy ML models to production
- Design model evaluation frameworks
- Establish ML engineering standards
- Generate automated flight debriefs
- Implement feedback loops for model quality
- Operate AI systems in safety critical environments
- Own machine learning stack end to end
Perks/Benefits
- Aviation immersion opportunities
- Equity upside
- Free flight training
- Remote work
- Technical leadership opportunity
- Visa sponsorship
Skills/Tech-stack
Audio Machine Learning | Audio Separation | Cloud Computing | Fine Tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Infrastructure | Machine learning deployment | Model Evaluation | Multimodal AI | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | Series analysis | Speaker Diarization | Speech Processing | Speech-to-Text | System design | Time Series | Time Series Analysis
Education
Regions
Countries
States
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