Senior Healthcare ML Scientist – Special Projects

Amazon

San Francisco (CA)

On-site

USD 167,000 - 226,000

Full time

14 days+
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Benefits offered by this job

Health insurance
RSUs
Paid time off

Job summary

Amazon seeks a Senior Applied Scientist for Special Projects to build state-of-the-art ML models for healthcare. You will work with a diverse team of scientists, engineers, and product managers in an entrepreneurial environment, delivering innovative solutions at scale.

The role emphasizes translating research into practical products and collaborating across teams to address healthcare challenges. The position offers opportunities to influence roadmap and strategic initiatives within the Special

Qualifications

  • PhD or MS with 6+ years applied research experience.
  • Experience building ML models for healthcare or related domain.
  • Proficiency in programming languages such as Java, C++, Python.
  • Experience with deep learning methods and ML techniques.

Responsibilities

  • Design and implement novel AI/ML solutions for complex healthcare challenges.
  • Drive advancements in machine learning and data science.
  • Balance theoretical knowledge with practical implementation.
  • Work closely with customers and partners to understand their requirements.
  • Navigate ambiguity and create clarity in early-stage product development.
  • Collaborate with cross-functional teams to deliver impactful solutions.
  • Establish best practices for ML experimentation, evaluation, development and deployment.
  • Partner with leadership to define roadmap and strategic initiatives.

Skills

Machine Learning
Leadership
Python
Java/C++

Education

PhD or MS with 6+ years applied research

Tools

R
scikit-learn
Spark MLLib
MxNet
TensorFlow
NumPy
SciPy

Job description

Amazon seeks a Senior Applied Scientist for Special Projects to build state-of-the-art ML models for healthcare. You will work with a diverse team of scientists, engineers, and product managers in an entrepreneurial environment, delivering innovative solutions at scale.

The role emphasizes translating research into practical products and collaborating across teams to address healthcare challenges. The position offers opportunities to influence roadmap and strategic initiatives within the Special

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