Senior Naval ML Engineer – Hybrid (San Diego) Job at The Marlin Alliance, Inc. i
The Marlin Alliance, Inc., San Diego, CA, United States
A defense technology company is seeking a Senior Machine Learning Engineer in San Diego, CA, to design advanced machine learning models for naval applications. The role involves collaborating with multidisciplinary teams, implementing algorithms, and developing cloud-native pipelines. Candidates should have extensive experience in ML frameworks and programming, particularly in Python. This position offers a salary range of $110,000 - $180,000, with hybrid work options to support the digital transformation of Navy missions.
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In Summary: Senior Machine Learning Engineer in San Diego, CA, to design advanced machine learning models for naval applications . The role involves collaborating with multidisciplinary teams, implementing algorithms, and developing cloud-native pipelines . Candidates should have extensive experience in ML frameworks and programming, particularly in Python .
En Español: Una compañía de tecnología de defensa está buscando un ingeniero senior en San Diego, CA, para diseñar modelos avanzados de aprendizaje automático para aplicaciones navales. El papel implica colaborar con equipos multidisciplinarios, implementar algoritmos y desarrollar tuberías nativas en la nube. Los candidatos deben tener una amplia experiencia en marcos ML y programación, particularmente en Python.
#J-18808-Ljbffr
In Summary: Senior Machine Learning Engineer in San Diego, CA, to design advanced machine learning models for naval applications . The role involves collaborating with multidisciplinary teams, implementing algorithms, and developing cloud-native pipelines . Candidates should have extensive experience in ML frameworks and programming, particularly in Python .
En Español: Una compañía de tecnología de defensa está buscando un ingeniero senior en San Diego, CA, para diseñar modelos avanzados de aprendizaje automático para aplicaciones navales. El papel implica colaborar con equipos multidisciplinarios, implementar algoritmos y desarrollar tuberías nativas en la nube. Los candidatos deben tener una amplia experiencia en marcos ML y programación, particularmente en Python.