Senior Applied Scientist - Personalization & Recommendations

Amazon; Seattle (WA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Applied Scientist in Seattle to push the boundaries of machine learning and recommendation systems. You will be responsible for developing AI technologies for Personalization, collaborating with engineers and product managers to implement cutting-edge solutions.

Candidates should have a PhD or Master's degree with 6+ years of experience, programming skills in Java, C++, or Python and a strong background in neural deep learning methods. This role offers a comprehensive benefits package and the chance to impact millions of customers.

Qualifications

• 3+ years of building machine learning models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Develop AI solutions for recommendation systems using deep learning.
• Collaborate with engineers to implement and launch solutions.
• Conduct A/B experiments to evaluate AI solutions.

Skills

Building machine learning models

Programming in Java, C++, Python

Neural deep learning methods

Advanced analytical techniques

Education

PhD or Master’s degree with 6+ years of experience

Tools

R

scikit-learn

TensorFlow

Spark

Job description

Amazon is seeking a Senior Applied Scientist in Seattle to push the boundaries of machine learning and recommendation systems. You will be responsible for developing AI technologies for Personalization, collaborating with engineers and product managers to implement cutting-edge solutions.

Candidates should have a PhD or Master's degree with 6+ years of experience, programming skills in Java, C++, or Python and a strong background in neural deep learning methods. This role offers a comprehensive benefits package and the chance to impact millions of customers.