Senior Applied Scientist, Personalization & Recommendations

Amazon Science; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Seattle is seeking a highly skilled Applied Scientist to develop and deploy large-scale machine learning models that tailor on-site recommendations and improve customer experience. You will work with researchers and software engineers to build state-of-the-art models, evaluate them with rigorous experiments, and mentor junior team members in a fast-paced, data-driven environment.

Experience with distributed systems, ML tooling, and scalable data pipelines will be a plus as we

Qualifications

• 4+ years building ML models for business applications.
• PhD or Master's with 4+ years of applied research is preferred.
• Proficiency in Java, C++, and Python for model development.

Responsibilities

• Develop state-of-the-art ML models to improve customer-facing recommendations.
• Collaborate with scientists and engineers to deploy models at scale.
• Mentor junior team members and contribute to the ML community.

Skills

Java

C++

Python

Deep learning

Education

PhD or Master's in a relevant field

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon Science in Seattle is seeking a highly skilled Applied Scientist to develop and deploy large-scale machine learning models that tailor on-site recommendations and improve customer experience. You will work with researchers and software engineers to build state-of-the-art models, evaluate them with rigorous experiments, and mentor junior team members in a fast-paced, data-driven environment.

Experience with distributed systems, ML tooling, and scalable data pipelines will be a plus as we