US Company is hiring: Biology ML Systems Engineer in San Diego
US Company, San Diego, CA, United States
A leading laboratory organization in San Diego is seeking a Machine Learning Engineer I/II to contribute to the development of foundation models for biology. This role involves training and optimizing large-scale machine learning systems in a collaborative environment with a diverse team. Ideal candidates will have relevant degrees and practical experience in large-scale ML tools, with strong communication skills. The position offers competitive compensation with a salary range from $150,450 to $203,550 for Machine Learning Engineer I.
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In Summary: A leading laboratory organization in San Diego is seeking a Machine Learning Engineer I/II to contribute to the development of foundation models for biology . Ideal candidates will have relevant degrees and practical experience in large-scale ML tools . The position offers competitive compensation with a salary range from $150,450 to $203,550 .
En Español: Una organización de laboratorio líder en San Diego está buscando un Ingeniero de Aprendizaje Automático I / II para contribuir al desarrollo de modelos fundacionales para la biología. Este papel implica el entrenamiento y optimización de sistemas de aprendizaje automático a gran escala en un entorno colaborativo con un equipo diverso. Los candidatos ideales tendrán títulos relevantes y experiencia práctica en herramientas ML a grande escala, con fuertes habilidades de comunicación.
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In Summary: A leading laboratory organization in San Diego is seeking a Machine Learning Engineer I/II to contribute to the development of foundation models for biology . Ideal candidates will have relevant degrees and practical experience in large-scale ML tools . The position offers competitive compensation with a salary range from $150,450 to $203,550 .
En Español: Una organización de laboratorio líder en San Diego está buscando un Ingeniero de Aprendizaje Automático I / II para contribuir al desarrollo de modelos fundacionales para la biología. Este papel implica el entrenamiento y optimización de sistemas de aprendizaje automático a gran escala en un entorno colaborativo con un equipo diverso. Los candidatos ideales tendrán títulos relevantes y experiencia práctica en herramientas ML a grande escala, con fuertes habilidades de comunicación.