Applied Scientist
hace 1 mes
About UsWe address the shortage of skilled labor in critical areas, such as healthcare, by developing AI assistants capable of handling tasks that traditionally require human intelligence. We seek a motivated Applied ML Scientist to help us advance LLM and knowledge-based systems.About YouAn ideal candidate for this Applied ML Scientist role would: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.Preferred QualificationsExperience in an early-stage startup.Knowledge of healthcare data and electronic health records.About the Role- As an Applied ML Scientist, you’ll work closely with the founding team to develop our 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.
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España Amazon A tiempo completoDESCRIPTIONThe Community Feedback organization powers customer-generated features and insights that help customers use the wisdom of the community to make unregretted shopping decisions. Today our features include Customer Reviews, Content Moderation, and Customer Q&A (Ask); however, our mission and charter are broader than these features. We are focused on...
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