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Research Scientist

Research Scientist

Job ID 
Posted Date 
A2Z Development Center, Inc.
Recruiting Team 

Job Description

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?

Work hard. Have fun. Make history.

The Role
Are you curious and passionate to take part in a small group developing cutting edge technology for building the new generation of neural networks? Are you unafraid of tackling a mind-bending challenge that will improve peoples' lives in a meaningful way?
Come join our team, where you’ll work on developing technologies that will be used and embedded in a wide variety of Amazon devices and products that are used by millions of people.

Basic Qualifications

MSc or PhD in computational science and engineering or/and applied mathematics, involving intense computations. For example, in one or several of the following fields: Probability, Statistics, Stochastic processes; machine learning, neural nets; computer vision, NLP, medical imaging; graphs, signal processing; optimization, fast multi-level solvers, upscaling; partial differential equations, integral equations; computational physics/chemistry.

Experience in state-of-the-art numerical algorithms and/or machine learning technologies:
  • MSc or PhD in computational science and engineering or/and applied mathematics, involving intense computations.
  • Excellent programming skills with at least three years of experience working with Python, and C++.
  • Background in applied mathematics and/or computer science, in particular machine learning, statistics, and graphs: software and algorithms.
  • Experience in state-of-the-art numerical algorithms and machine learning technologies

Preferred Qualifications

  • Extended experiments in machine learning and/or statistics
  • Familiarity with one or more of the following: MXNet, Pytorch, Caffe,Tensor flow.
  • Publications at top-tier peer-reviewed conferences or journals
  • At least 1 year of post-graduate experience in academic or industry environment
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art
  • Experience working with large datasets and Deep Learning algorithms
  • Excellent written and verbal communication skills, ability to communicate effectively to both technical and nontechnical audiences.

Lab126 is part of the, Inc. group of companies and is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation