Machine Learning Engineer
Gdansk, PL
‎17 godz. temu

Alexa Amazon’s ground-breaking cloud service that powers devices such as Echo and FireTV. We are looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background to join us in beautiful costal city of Gdansk Poland, to help build industry-leading Speech and Language technology.

Our mission is to push the envelope in computer generated speech, computer generated characterisation and Vactor performance, in order to provide the best-possible experience for our customers.

Position Responsibilities :

  • Research and implement novel ML and statistical approaches which add value to Amazon.
  • Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications.
  • Develop and / or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering
  • Bachelor’s Degree in Computer Science or related field
  • Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
  • Knowledge of, at least, one modern programming language such as C++, Java, Scala or Python.
  • Good written and spoken English communication skills.
  • 2+ years professional experience in software development.
  • Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences or a related discipline with specialisation in speech synthesis, recognition, natural language processing, or machine learning.
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Experience with common machine learning techniques such as preprocessing data, training and evaluation of classification and regression models, and statistical evaluation of experimental data.
  • Proficiency training large scale models in, at least, one modern deep learning engine such as MXNet, Tensorflow, Caffe / Caffe2, Keras, PyTorch / Torch and Theano.
  • Experience building workflows involving large dataset and / or machine learning models in production using distributed computing and big data processing concepts and technologies.
  • Experience in building speech, natural language processing and / or machine learning systems (e.g. commercial products or government speech projects)
  • Ability to take a project from scoping requirements through actual launch of the project
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