Remote ML Research Scientist - Multimodal & RL Job at Flowstate in New York

A leading AI-driven marketing firm in New York is seeking a Machine Learning Engineer to develop multimodal LLM-based recommendation systems. The ideal candidate is a Ph.D. candidate in a quantitative field, fluent in Python and frameworks like PyTorch, and holds a strong track record in machine learning research. This position initially offers remote work and transitions to a hybrid model. Compensation ranges from $140,000 to $160,000 annually, including performance bonuses and equity.
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In Summary: A leading AI-driven marketing firm in New York is seeking a Machine Learning Engineer to develop multimodal LLM-based recommendation systems . The ideal candidate is a Ph.D. candidate in a quantitative field, fluent in Python and PyTorch . Compensation ranges from $140,000 to $160,000 annually .

En Español:

Una empresa líder de marketing impulsada por IA en Nueva York está buscando un ingeniero de aprendizaje automático para desarrollar sistemas de recomendación basados en LLM multimodal. El candidato ideal es un doctorado en campo cuantitativo, fluido en Python y marcos como PyTorch, y tiene una sólida trayectoria en la investigación del aprendizaje artificial. Esta posición inicialmente ofrece trabajo remoto y transiciones a un modelo híbrido. La compensación oscila entre $ 140,000 a $ 160,000 al año, incluyendo bonos de rendimiento e equidad.