Senior Researcher in Natural Language & Speech Processing

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Are you ambitious to make the world a better place by making technology breakthrough in artificial intelligence? Are you passionate about diving deep into hard technical problems in real world, coming up with insightful solutions, and building working systems? Are you self-motivated, proven collaborators, good communicators, attentive to details, and keen to learn? If yes, Tencent AI Lab is the place for you.

We are building a research team in the greater Seattle area to develop cutting edge technologies in speech recognition, speech synthesis, natural language understanding, and dialog system.

Responsibilities:

• Research, design, implement, evaluate and optimize novel algorithms/models that lead to improved performance in real world scenarios
• Work on large-scale datasets and create scalable and accurate systems in versatile languages / application fields
• Collaborate closely with team members across USA and China on developing systems from prototyping to production level

Minimum qualification:

• PhD degree in computer science, electrical engineering, math, statistics, or related fields
• Publications at top-tier peer-reviewed conferences or journals
• Interest and experience in speech recognition, speech synthesis, natural language understanding, or dialog system
• Strong coding skills in C/C++, Python, and one shell script
• Ability to communicate/collaborate with other researchers/engineers
• Ability to think out of box

Preferred candidates for this position should also have

• Proven track record of innovation in creating novel algorithms and advancing the state of the art
• Good understanding of cutting edge deep learning models
• Working experience with one of the deep learning platforms: ensorflow/pyTorch/CNTK/mxNet
• Working experience on large quantities of data