Senior Applied Scientist — ML & Innovation (MENA)

Amazon; Dubai; On-site; AED 420,000 - 640,000; Full time

Job summary

Amazon in Dubai is seeking an Applied Scientist to solve complex problems with machine learning and data science. You will build models and ML systems to accelerate customer experience and business outcomes in a fast-paced, collaborative environment.

You will invent, prototype, and deploy state-of-the-art algorithms, work with partners across engineering, product, and research, and publish results as appropriate while balancing speed, quality, and scale.

Qualifications

• 5+ years of building machine learning models for business application experience.
• 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.
• Strong publication record at top conferences and journals.

Responsibilities

• Invent, implement and deploy state of the art machine learning algorithms and systems.
• Create experiments and prototype implementations of new learning algorithms and prediction techniques.
• Collaborate with applied scientists, engineers, product managers and stakeholders to design and implement software solutions for science problems.
• Use machine learning best practices to ensure a high standard of quality for all of the team deliverables.
• You will be at the heart of a growing and exciting area for MENA tech.
• You will shape the vision of MENA ML and drive innovative and impacting products.

Skills

ML model development

Publication track record

Team collaboration

Problem solving

Adaptability

Education

PhD or Master’s degree in a relevant field

Tools

Java

C++

Python

TensorFlow

scikit-learn

Spark

MxNet

NumPy

SciPy

Hadoop

Job description

Amazon in Dubai is seeking an Applied Scientist to solve complex problems with machine learning and data science. You will build models and ML systems to accelerate customer experience and business outcomes in a fast-paced, collaborative environment.

You will invent, prototype, and deploy state-of-the-art algorithms, work with partners across engineering, product, and research, and publish results as appropriate while balancing speed, quality, and scale.