Staff Machine Learning Engineer
Tasks
- Build machine learning pipelines and utilities
- Build model deployment platform
- Define machine learning platform best practices
- Deploy and integrate machine learning models into production systems
- Design scalable machine learning models
- Develop reusable end to end data to model pipelines
- Mentor junior data scientists and machine learning engineers
- Optimize complex data pipelines
- Partner with data scientists to troubleshoot data pipelines
- Prototype and productionize machine learning and optimization models
- Work with product managers to gather model requirements
Perks/Benefits
- 401k employer matching
- Company offsite events
- Employee wellness
- Free therapy
- Hardware and software allowance
- Health, dental and vision coverage
- Remote work
- Travel expenses covered
Skills/Tech-stack
Algorithms | Boosting | Data Pipelines | Data Structures | Deep learning | Dimensionality Reduction | Discrete Event Simulation | Discrete event | Event simulation) | Fine Tuning | Human Feedback | Integer Programming | Language Models | Large Language Models | Learning from Human Feedback | Linear Programming | Machine Learning | Neural Networks | Object-Oriented | Object-oriented programming | Optimization | Personalization | Python | Recommendation Systems | Regression | Reinforcement Learning | Reinforcement Learning from Human Feedback | SQL | Software Engineering | Statistical modeling | Tree-based methods
Education
N/A
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