Applied Scientist II, Sheriff Team- Payroll tech

About the role

As an Applied Scientist on the Sheriff team, you will own and advance the ML and GenAI capabilities that power these systems: driving model accuracy, scientific innovation, and global scale across the payroll ecosystem.

What you'll do

• You bring deep domain knowledge and fluency with state-of-the-art scientific approaches as well as emerging technologies from the research community
• You design novel ML and LLM-based methodologies for anomaly detection, sentiment analysis, ticket classification, prescriptive analysis, intelligent virtual assistance
• You author or co-author articles for internal or external peer-reviewed venues that validate the novelty of your work
• You make appropriate tradeoffs between model accuracy and latency, innovation and stability, and immediate versus long-term solutions
• You make progress semi-autonomously with only occasional guidance, implement at the correct level of complexity the first time

What you need

• 4–7 yrs of experience
• Payroll
• Machine learning
• Python
• LLMs
• Data structures
• IPR
• PhD or B.Tech or B.E.

Good to have

• NLP
• AWS
• Statistics
• Linux
• Elasticsearch
• C++