Senior Machine Learning Engineer - Personalization, Horizon
Tasks
- Build and evaluate machine learning models
- Collaborate with cross-functional teams to deliver product features
- Create ML system technical specifications
- Design agentic based features
- Design modular ML architectures
- Implement ML systems testing and evaluation best practices
- Incorporate human feedback into model improvement
- Productionize solutions at scale
- Prototype scalable approaches
- Ship production machine learning systems
Perks/Benefits
- 401k retirement plan
- Flexible holidays
- Health insurance
- Meal allowance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
Skills/Tech-stack
Amazon Web Services | Apache Beam | Apache Spark | Cloud platform | Data Processing | Direct Preference Optimization | Distributed data | Distributed data processing | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Knowledge Transfer Optimization | Knowledge transfer | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Preference optimization | Reinforcement Fine Tuning | Reinforcement Learning | Transfer optimization | Web Services
Education
N/A
Regions
Countries
States
Cities
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