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