Senior Applied Scientist, Workforce Optimization & AI

Amazon; Seattle (WA); On-site; USD 150,400 - 260,000; Full time

Benefits offered by this job

Equity options

Comprehensive medical benefits

Employee discounts

Job summary

A leading technology company is seeking a Senior Applied Scientist for its ML/AI team in Seattle, United States. The role involves partnering with engineers and managers to develop advanced optimization solutions and insights using machine learning. Candidates should have 3+ years of experience in ML models, proficiency in Java, C++, or Python, and a relevant advanced degree. The compensation ranges from $150,400 to $260,000 annually, depending on market factors, along with various benefits.

Qualifications

• 3+ years of building machine learning models for business applications.
• Experience with neural deep learning methods and machine learning.
• Experience with large scale distributed systems.

Responsibilities

• Drive execution of engineering milestones with teams.
• Manage diverse requests and dependencies.
• Define and implement process improvements.

Skills

Machine learning

Advanced analytics

Programming in Java, C++, or Python

Education

Ph.D. or Master's degree

Tools

R

scikit-learn

TensorFlow

Job description

A leading technology company is seeking a Senior Applied Scientist for its ML/AI team in Seattle, United States. The role involves partnering with engineers and managers to develop advanced optimization solutions and insights using machine learning. Candidates should have 3+ years of experience in ML models, proficiency in Java, C++, or Python, and a relevant advanced degree. The compensation ranges from $150,400 to $260,000 annually, depending on market factors, along with various benefits.