Speech Recognition Engineer for AI Innovation

1 day ago


Bengaluru, Karnataka, India myGwork Full time
Join Amazon as a Speech Recognition Engineer and contribute to AI innovation.

We are seeking a talented engineer with a strong background in machine learning and speech recognition to join our team. This role will be part of our Speech and Language technology group, responsible for developing industry-leading Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) capabilities.

The ideal candidate will have a solid understanding of speech recognition algorithms and machine learning techniques, as well as experience in building and deploying large-scale systems. They will work closely with other engineers, researchers, and scientists to design, develop, and test novel algorithms and modeling techniques that advance the state of the art in spoken language understanding.

This is an excellent opportunity for someone who wants to make a significant impact on customer experience through innovative technologies.

BASIC QUALIFICATIONS:
- MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning
- 3-10 years of industry experience
- Familiar with programming languages such as C/C++, Java, Perl or Python. Experience with cloud-based services and distributed computing platforms is a plus.

PREFERRED QUALIFICATIONS:
- Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects)
- Solid Machine Learning background and familiar with standard speech and machine learning techniques.
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
- Solid software development experience
- Good written and spoken communication skills.

In terms of salary, we estimate this role to pay around $**$140,000 - $200,000 per year**, depending on qualifications and location. If you're passionate about speech recognition and machine learning, we encourage you to apply.

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