Applied Scientist

November 8

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Tech Recruitment • Product Recruitment • Science Recruitment • Consulting • Talent Acquisition

11 - 50

Description

• Work closely with the founding team to develop core product and support team growth. • Experimenting with foundational LLMs, advanced prompting techniques (e.g., ReAct), and integrating these with external data and knowledge sources. • Fine-tuning and deploying models while balancing performance and latency. • Implementing monitoring, setting guardrails, and establishing best practices for production-level generative AI. • Developing reproducible experimentation pipelines to benchmark LLM-based agents, enabling quick iterations. • Collaborating closely with engineering, clinical, and product teams to translate business needs into technical solutions

Requirements

• Have at least five years of experience in machine learning, especially in product-oriented companies. • Be highly skilled in Python for machine learning and backend development within production environments. • Demonstrate enthusiasm for staying current with the latest advancements in AI and LLM technologies. • Exhibit humility, a collaborative attitude, and a willingness to support team goals. • Be comfortable with taking ownership and working independently within a fast-paced startup environment. • Experience in an early-stage startup. • Knowledge of healthcare data and electronic health records.

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