Architect, Applied Scientist (Reasoning Platform, AI Lead)
Tasks
- Build and deploy machine learning systems
- Collaborate with technical partners on long term strategy
- Define technical vision and science practices
- Design and run experiments
- Develop machine learning models
- Develop prototypes and proof of concepts
- Establish engineering and ops practices
- Identify and mitigate system risks
- Integrate AI solutions into production
- Lead AI efforts across products and services
- Mentor and hire team members
- Optimize risk profitability and customer experience
- Partner with engineering and product management
- Provide scientific and technical leadership
- Research new algorithms
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Life insurance
- Paid parental leave
- Paid time off
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Automatic Speech Recognition | Cloud Computing | Computer Vision | Data Science | Decision support | Deep learning | Experiment design | Forecasting | Language Processing | Language Understanding | Machine Learning | Model Development | Natural Language | Natural Language Processing | Natural Language Understanding | Prototype Development | Recommendation Systems | Risk Optimization | Speech Recognition | Time Series
Education
Roles
AI | AI Platform Lead | Applied Scientist | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Platform Lead | Scientist
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