INACTIVE
Full-Time
Speech Scientist
Posted on 3/10/2023
Research-based artificial intelligence software provider
Robotics & Automation
AI & Machine Learning
Mid, Senior
Mountain View, CA, USA
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
C/C++
Requirements
- M.S. or Ph.D. in Computer Science
- Research and/or work experience in machine learning, deep learning, and/or speech applications including ASR, speaker / emotion recognition and TTS
- First-authored publications at workshops or conferences such as NeurIPS, Interspeech, ICASSP, ASRU and SLTExperience in C/C++, Python or scripting languages
- Familiarity with at least one of deep learning toolkits such as PyTorch, Tensorflow and Kaldi/K2
- Strong analytical/problem solving skills
- A collaborative spirit with excellent communication skill
- Proven track record of achieving results as demonstrated by grants, fellowships and patents
- Experience with end-to-end deep neural network research
- Strong software engineering experience
- Ability to thrive in an ever changing, dynamic environment
Responsibilities
- Develop and optimize speech modeling procedures using large-scale audio data from production systems
- Work closely with other speech modeling researchers on implementing algorithms that power state-of-the-art machine learning systems for real-time speech applications
- Build integrated speech application systems and perform evaluations
- Follow and lead new research trends related to end-to-end speech modeling
ASAPP exists to elevate human performance with AI Native® technology. They focus on addressing complex problems in environments with huge systemic inefficiencies and lots of data where real solutions create significant economic impact.
Company Stage
Series C
Total Funding
$387.6M
Headquarters
New York, New York
Founded
2014
Growth & Insights
Headcount
6 month growth
↓ -6%1 year growth
↓ -3%2 year growth
↑ 4%Benefits
Learning & Development
Comprehensive Health Benefits
Daily Catered Meals
Vacation
401K Program
Family Leave
INACTIVE