Senior ML Scientist, Central Science (PXT)

Amazon

Boston (MA)

On-site

USD 167,000 - 226,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off

Job summary

Amazon.com Services LLC is seeking a Senior Applied Scientist to design, develop, and deploy production machine learning systems that scale to solve high-impact business challenges across the organization.

You will work on predictive modeling, natural language processing, recommendation systems, and generative AI applications, collaborating with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.

Qualifications

  • 3+ years of building machine learning models for business applications.
  • PhD, or Master's degree and 6+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and machine learning.

Responsibilities

  • Design and deploy large-scale machine learning systems in production environments.
  • Develop innovative ML solutions using state-of-the-art techniques including deep learning, NLP, and generative AI.
  • Create ML solutions that personalize experiences and measure development effectiveness across user populations.
  • Partner to build causal inference models and experimental frameworks to measure impact.
  • Collaborate with product managers, engineers, and business leaders to define technical roadmaps.
  • Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.

Skills

Machine learning
Deep learning
NLP
Communication with leadership

Education

PhD or MS + 6+ years applied research

Tools

R
scikit-learn
Spark MLLib
MxNet
TensorFlow
NumPy
SciPy

Job description

Amazon.com Services LLC is seeking a Senior Applied Scientist to design, develop, and deploy production machine learning systems that scale to solve high-impact business challenges across the organization.

You will work on predictive modeling, natural language processing, recommendation systems, and generative AI applications, collaborating with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.

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