Machine Learning Scientist with Audio DSP background

Machine Learning Scientist with Audio DSP background

Collaborate with senior machine learning researchers, engineers and speech processing researchers. Provide technical expertise to address supervised and unsupervised learning problems in an applied research and development environment. Develop & deploys modern machine learning and statistical methods (CART and Random Forests, clustering and classification algorithms, Bayesian models, neural nets, SVM etc.) for finding patterns / models from audio signals. Familiarity with large data sets, cloud based development and deployment, open source practices and frameworks and experience in putting an application into production is desirable.

In this role you will :

• Provide technical expertise and execution know-how to the design of machine learning algorithms / solutions to solve ultra-challenging problems
• Determine methodologies needed; apply such methodologies (e.g. neural nets, CART, Bayesian methods, etc.) on speech processing and related research domains.
• Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as R, Python, SAS, MATLAB, and / or Splus. Explore, determine & develop technical approaches to be used and apply them on major challenges
• Interface closely with Oben Business counterparts to understand / define requirements, domain knowledge / models, and data needs.
• Effectively communicate technical analyses and results.
• Work with offshore and in-house technical and business teams

Desired Skills and Experience :

Desired Characteristics :

Application Requirements :

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