Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of 1 million+ contributors worldwide, speaking 235+ languages.
Do you wonder why someone would want to come work at Appen? Listen to this!
Audio & Speech Science Intern
Position Summary
Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produce the best machine learning solutions. However, creating training data with high quality in a scalable way is very challenging, and very few companies can do it. The whole AI world is starving for great training data. Appen is the market lead in training data generation field for more than 22 years. It generates all kinds of training data like content relevance, image & video, text & audio, as well as data capturing.
Appen Tech team is solving the AI data problem by combining the power of humans and technology. This world-class and exciting engineering position awaits a qualified candidate who will join Appen’s data science team.
We are seeking a summer intern with hands-on expertise in speech processing, speech recognition, software development, and machine learning to build AI solutions to improve millions of annotators' efficiency at
scale.You will have the opportunity to work with our global tech team from Shanghai, Silicon Valley, and Sydney. Appen is a leading data company with a start-up culture. And we only want people who want to make a huge impact on the AI world instead of just a job!
Responsibilities:
- Develop speech processing algorithms for automating manual annotation tasks, which includes speech separation, speech detection, speech segmentation, speech recognition, speaker diarization and speaker recognition, etc.
- Work with the teams to build human-in-the-loop AI/ML solutions in speech processing and speech recognition domain to improve annotation efficiency and quality.
Required Knowledge, Skills and Abilities:
- Current Ph.D. student in Computer Science, Electrical Engineering or related areas is required for this position.
- Hands-on experience in speech-related AI/ML fields.
- Familiar with mainstream speech recognition toolsets, like Kaldi, Speech Brain, Wav2Vec2, Whisper, Tensorflow, Pytorch etc.
- Solid understanding of ASR theories and algorithms, from traditional methods to modern deep learning-based techs.
- Solid knowledge of machine learning and deep learning algorithms.
- Familiar with C/C++, Python, or other programming languages.
- Excellent communications skills, both verbal and written in English
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#LI-Onsite
Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.
