Senior Applied Scientist - AI/ML for Video Search

Prime Video & Amazon MGM Studios; New York (NY); On-site; USD 149,000 - 249,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC, operating Prime Video Search Science, seeks an Applied Scientist to own end-to-end ML solutions for search systems and contribute to research that impacts millions of customers worldwide.

You will build and guide ML models, work with engineers and PMs, and publish findings in top conferences. Candidates should have strong research background and experience deploying models at scale.

Qualifications

• PhD or Master's degree with 6+ years of applied research experience.
• 5+ years of building machine learning models for business application experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods.
• Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end.
• Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses.
• Effectively communicate technical and non-technical ideas with teammates and stakeholders.
• Stay up-to-date with advancements and the latest modeling techniques in the field.
• Publish your research findings in top conferences and journals.

Skills

Java

C++

Python

Programming languages

Education

PhD or Master's with 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon.com Services LLC, operating Prime Video Search Science, seeks an Applied Scientist to own end-to-end ML solutions for search systems and contribute to research that impacts millions of customers worldwide.

You will build and guide ML models, work with engineers and PMs, and publish findings in top conferences. Candidates should have strong research background and experience deploying models at scale.