Offers “Amazon”

Expires soon Amazon

Applied Scientist, Machine Learning

  • San Francisco (San Francisco County)
  • IT development

Job description

DESCRIPTION

As a NLP Scientist, you have the chance to help develop a new product from the very early stages. We are looking for candidates who thrive in a fast paced start-up like environment and want to invent the future.
Our team is looking for a Scientist to apply DL and NLP techniques to solve new problems for Amazon. You'll collaborate closely with research scientists and UX researchers and Software Development Engineers to help define the scope of a product. You will take responsibility for technical problem solving, creatively meeting product objectives and developing best practices. You will demonstrate cross-functional resource interaction to accomplish your goals. You will identify and initiate investigations of new technologies, prototype and test solutions for product features, and design and validate designs that deliver an exceptional user experience. You are a person with a commitment to team work, who enjoys working on complex software systems, is customer centric, and thrives on the challenge of prototyping new systems that will eventually operate at world-wide scale.

Desired profile

BASIC QUALIFICATIONS

· PhD in machine learning (or in a highly related area) or equivalent experience
· Solid background in statistical learning techniques for NLP (Deep Learning, HMMs, CRFs, SVMs, LDA, LSI, MRFs etc)
· Must have ML/NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement)
· Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, etc.)
· Knowledge of or experience in building production quality and large scale deployment of applications related to natural language processing and machine learning.
· Fluency with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet
· Eager to learn new algorithms, new application areas and new tools.
· Excellent communication skills

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