Machine Learning Engineer, Support Experience
Tasks
- Apply NLP and conversational AI concepts to support experiences
- Build ML systems
- Collaborate with product teams
- Create evaluation pipelines
- Create training pipelines
- Deploy ML models
- Design ML models
- Develop contextual conversation models
- Evaluate ML models
- Implement ML features for support agents
- Improve answer capabilities
- Optimize ML powered resolution flows
- Own ML models in production
- Prioritize AI driven features
- Propose AI driven support features
- Stay current with ML/AI developments
- Streamline information collection
- Train ML models
Perks/Benefits
- 401k plan
- Bonus plan
- Dental benefits
- Equity
- Hybrid work
- Medical benefits
- Remote work options
- Vision benefits
- Wellness stipends
Skills/Tech-stack
Agentic Planning | By Design | Compliance | Conversational AI | Cost Optimization | Data Pipelines | Deep learning | Distributed Systems | Embeddings | Feature Engineering | Function Calling | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Model Training | Natural Language | Natural Language Processing | Offline Learning | Online Learning | Orchestration | Privacy by Design | PyTorch | Python | RAG | Retrieval-Augmented Generation | SLO | Security by design | Software Architecture | TensorFlow | Tool use | XGBoost
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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