Senior Machine Learning Scientist
Tasks
- Build and enhance LLM based applications
- Collaborate with engineering product growth and analytics stakeholders
- Define offline and online model performance metrics
- Deploy production machine learning systems
- Design and implement recommendation systems
- Develop evaluation frameworks and monitoring systems
- Establish best practices for experimentation and model evaluation
- Lead end-to-end machine learning development
- Research and apply emerging machine learning techniques
Perks/Benefits
- Equity participation
- Flexible work schedule
- Fully remote
- Inclusive culture
- Ownership and autonomy
- Professional growth opportunities
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Classification Models | Embeddings | Experimentation | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Performance Evaluation | Predictive Modeling | Prompt engineering | Python | Ranking Models | Recommendation Systems | Retrieval 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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