This job might no longer be available.

Manager, Voice Input and Speech Synthesis

Job Description

In this position, you are responsible for owning and shipping Magic Leap’s embedded and cloud Voice Input and Speech Synthesis services. This includes end-to-end design, development and productization of multi-modal voice interactions, speech recognition (speech-to-text STT, ASR), natural language processing/understanding (NLP/NLU) and text-to-speech (TTS) services. As part of your job, you will be working with existing and pre-release Magic Leap devices on a daily basis.

Responsibilities

• Work with teams from the low-level audio sub-system, middleware services, SDK and cloud to define end-to-end architecture and dependency alignment for speech-to-text, ASR, NLU and TTS services
• Work with Product Management and UX designers to define and design features such as multi-modal voice interactions and the voice UI/UX
• Technical evaluation of TTS, ASR, NLU and STT solutions
• KPI definition for TTS, ASR, NLU and STT
• Product requirements analysis and conversion to architecture and software requirements
• Define and maintain development roadmap, resource and risk plans to meet product release milestones
• Approximately 30% of time devoted to hands on development and productization of voice input and speech synthesis services
• Build, grow, provide technical guidance and lead team of engineers responsible for
• Technical feasibility studies, proof of concepts and prototypes
• Design, implementation and productization of embedded (on-device) and cloud voice and speech platform services and API’s
• ASR/NLU model development, training and tuning
• Implementation of multi-modal input support
• Test automation for word error rate (WER), NLU intent accuracy, etc

Qualifications

• 7+ years of experience in software services development and productization, including 2+ years as technical/team lead in speech processing or related field
• Experience with and understanding of natural language understanding and/or speech recognition (ASR) systems and algorithms
• Proficient in Python/NodeJS, high-level familiarity with C/C++ is a strong plus
• Familiarity with middleware services development in embedded systems is a plus

Education

• BS or MS in Computer Science or related field

Additional Information

• All your information will be kept confidential according to Equal Employment Opportunities guidelines.