Lead AI/ML Scientist — Remote Healthcare Impact

Optum

Bellevue (WA)

A distancia

USD 155.000 - 194.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Optum AI is seeking a Lead AI/ML Applied Scientist to work remotely within the United States. You will develop and deploy ML models, run experiments, and mentor teams while collaborating with healthcare data engineers and leaders.

Ideal candidates hold a PhD, 10+ years in ML/AI, and 5+ years building business-focused models using Python, PyTorch, or TensorFlow, with expertise in NLP, speech, and multimodal ML.

Formación

  • PhD in AI, computer science, data science, applied math or related technical field.
  • 10+ years of industry/academic experience in machine learning or a related field.
  • 5+ years of building models for business applications.
  • 5+ years of Python programming with PyTorch or TensorFlow.
  • Advanced understanding of deep learning with applications in speech processing, NLP and multimodal modeling.

Responsabilidades

  • Build machine learning models, perform PoCs, experiment, optimize, and deploy into production.
  • Analyze healthcare data to develop actionable insights.
  • Run A/B experiments, collect data, and perform statistical analysis.
  • Establish scalable automated processes for large-scale data analysis and model serving.
  • Research and implement innovative ML approaches; mentor AI/ML scientists.

Conocimientos

Python programming
Deep learning
ML model development
PyTorch
TensorFlow

Educación

PhD in AI/CS or related field

Herramientas

PyTorch
TensorFlow

Descripción del empleo

Optum AI is seeking a Lead AI/ML Applied Scientist to work remotely within the United States. You will develop and deploy ML models, run experiments, and mentor teams while collaborating with healthcare data engineers and leaders.

Ideal candidates hold a PhD, 10+ years in ML/AI, and 5+ years building business-focused models using Python, PyTorch, or TensorFlow, with expertise in NLP, speech, and multimodal ML.

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