Senior Machine Learning Scientist
Tasks
- Build evaluation frameworks and monitoring systems
- Collaborate with engineering to deploy production machine learning systems
- Define and track offline and online performance metrics
- Design and implement recommendation systems
- Develop LLM-based applications
- Establish best practices for experimentation and model evaluation
- Lead end-to-end machine learning development
- Partner with product and analytics stakeholders on experimentation
- Research and apply emerging machine learning techniques
Perks/Benefits
- Autonomy and ownership
- Equity participation
- Flexible work schedule
- Fully remote
- Professional growth opportunities
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | Agent-based | Agent-based Architectures | B testing | Causal Inference | Embeddings | Experimentation | Language Processing | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Predictive Modeling | Production Deployment | Prompt engineering | Python | RAG | Ranking | Recommendation Systems | Retrieval-Augmented Generation | SQL | Statistical Analysis | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
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