ABOUT TUITO
TUITO is an Artificial Intelligence technology company focused on state of the art audio analytics solutions. The team has developed a full software suite to transform audio signals into actionable data using the most advanced and powerful AI models and architecture.
TUITO continuous innovations in the field of AI applied to audio and language processing are recognized by the research community (publications, awards). TUITO’s audio analytics solutions are deployed in several market sectors such as medical, industry or robotics.
The number one objective of TUITO’s project is to improve drastically our relationship with the machines with a natural and intuitive interaction and collect valuable datas in a world of sound to help all operators take better decisions.
AN EXPERIENCED TEAM
We have put together an experienced and motivated team of AI experts, developers, designers and project managers to deliver to our customers a tailored audio analytics solution whether they are focused on operators efficiency and confort, remote site and personnel safety or access relevant datas. Each team member is an essential contributor to the TUITO project.
TUITO’S FOUNDATIONS
Laurent Molac and Jerome Vial, founders of TUITO, each have more than 20 years in the electronics industry for the design and marketing of innovative solutions to facilitate and enhance the experience of users of media devices. They have led teams to excel in the delivery of consumer electronics equipment that is perfect, intuitive and meets the expectations of all potential user profiles. They have therefore decided to devote TUITO’s efforts to providing high value solutions to professionals to improve the quality of life at work for all operators.
We are hiring
It’s about taking part in an ambitious project to radically improve our interactions with machines. It’s a challenge that brings together diverse skills to intelligently integrate advanced technologies to serve and facilitate our lives at work or at play. The aim is simply to make these HMIs more natural and intuitive. TUITO places its employees at the center of the decision-making process, so that the company can evolve. TUITO is founded on the well-being and fulfillment of its employees. Each and every employee is a key player in the development and success of TUITO. We are committed to partnering with talented people who enjoy teamwork, want to contribute and get involved, without ever losing sight of the need to maintain a healthy work-life balance.
Through a telecommuting culture in place at TUITO for all its employees and contractors from its inception in 2018, we offer a healthy working environment where everyone will have the opportunity to work independently and will be supported by a supportive and caring team when the time comes. Headquartered in the Marseille region, our location is the ideal base from which to enjoy one of the world’s most vibrant cities, magnificent natural sites by the sea or in the hinterland, and a climate that is most favorable to the many outdoor activities available.
You are interested in the interactions between users and their digital environments, whether through graphics design, vocal or other interfaces.
Internship - Embedded AI, code offuscation and model optimization
At TUITO, we are dedicated to the application of Artificial Intelligence to optimize the user experience through innovative solutions. Specializing in signal processing and interactive application design, our mission is to facilitate natural human/machine interaction, stimulating user engagement while reducing their cognitive load, for a significant improvement in overall performance.
Our expertise lies in automatic event recognition (SoundEventDetection SED, KeyWordSpotting KWS, SpeechActivityDetection SAD, etc.), speech processing (SpeechEnhancement SE, SoundSourceSeparation SSS, AutomaticSpeechRecognition ASR, NaturalLanguageProcessing NLP, etc.), with a focus on noisy environments, specific vocabularies, and hardware constraints (RPi, IMX8, Jetson Nano, etc.).
We are also exploring ways of making our solutions less costly in terms of memory consumption, latency, storage memory, etc. TUITO currently uses optimized engines such as Onnx, TensorRt, etc. in addition to post-training quantization solutions. During the course, we'll be looking at pruning, quantization while training, lightening architectures while maintaining the same performance. In the second part of the course, we'll also be looking at code offuscation and compilation, library creation and pruning packaging.
Internship description
As part of this internship, you will be asked to optimize the various solution bricks already developed.
Missions:
- Getting to grips with existing tools and code.
- Monitoring the state of the art in AI model optimization and embedding solutions.
- Implementation and testing of various solutions (architecture modification and lightening, pruning, quantization while training, etc.).
- Creation of an Optimizer library specific to Tuito.
- Embedding models in Android/iOS
- Work on methods for packaging and offloading python code (PyInstaller, PyArmor, Nuitka, etc).
- Present progress to technical team.
Profile required
We are looking for Master 2 students (or equivalent engineering cycle) specialized in embedded AI and signal processing, available from January/February 2024.
Required skills:
- In-depth understanding of neural network architectures.
- Completed projects in audio processing. Use of frameworks such as ONNX, TensorRt, Quantization, Pruning, would be a real plus.
- Proficiency in Python programming and Git.
- Good level of English.
- Autonomy and interpersonal skills.
Offer advantages
- Pleasant living environment in the south of France at La Ciotat, an attractive seaside resort.
- Company on a human scale.
- Possibility of telecommuting (2 days a week).
- Dynamic team.
- Possibility of doing sports between noon and 2 p.m. as part of a team or on your own (running, beach volleyball, swimming in the sea, climbing, strengthening muscles, etc.).
Internship - Natural Language Processing NLP/TAL
At TUITO, we are dedicated to the application of Artificial Intelligence to optimize the user experience through innovative solutions. Specializing in signal processing and interactive application design, our mission is to facilitate natural human/machine interaction, stimulating user engagement while reducing their cognitive load, for a significant improvement in overall performance.
Our expertise lies in automatic event recognition (SoundEventDetection SED, KeyWordSpotting KWS, SpeechActivityDetection SAD, etc.), speech processing (SpeechEnhancement SE, SoundSourceSeparation SSS, AutomaticSpeechRecognition ASR, NaturalLanguageProcessing NLP, etc.), with a focus on noisy environments, specific vocabularies, and hardware constraints (RPi, IMX8, Jetson Nano, etc.).
We are also actively exploring the field of Natural Language to Query (NL2Q), seeking to transform natural language expressions into SQL queries. This major breakthrough demonstrates our commitment to the harmonious integration of natural language and database capabilities, offering exciting prospects for pushing back the boundaries of human-computer interaction.
Internship description
As part of this internship, you will be asked to improve our existing solutions and design new State-Of-The-Art algorithms for Natural Language to Query (NL2Q).
Missions:
- Getting to grips with existing tools and code.
- Work on data (automation of pipelines for text pre-processing, augmentation, etc.).
- Monitoring the state of the art in NL2Q.
- Implementation and testing of various solutions.
- Improve existing solutions.
- Present progress to technical team.
Required profile
We are looking for Master 2 students (or equivalent engineering cycle) specialized in AI and natural language processing, available from January/February 2024.
Required skills:
- In-depth understanding of neural network architectures.
- Projects carried out in NLP. Use of frameworks such as PyTorch, TensorFlow, NLTK, Spacy or Keras would be a plus.
- Proficiency in Python programming and Git.
- Good level of English.
- Autonomy and interpersonal skills.
Offer advantages
- Pleasant living environment in the south of France at La Ciotat, an attractive seaside resort.
- Company on a human scale.
- Possibility of telecommuting (2 days a week).
- Dynamic team.
- Possibility of doing sports between noon and 2 p.m. as part of a team or on your own (running, beach volleyball, swimming in the sea, climbing, strengthening muscles, etc.).
Internship - Audio processing Sound Event Detection (SED)
At TUITO, we are dedicated to the application of Artificial Intelligence to optimize the user experience through innovative solutions. Specializing in signal processing and interactive application design, our mission is to facilitate natural human/machine interaction, stimulating user engagement while reducing their cognitive load, for a significant improvement in overall performance.
Our expertise lies in automatic event recognition (SoundEventDetection SED, KeyWordSpotting KWS, SpeechActivityDetection SAD, etc.), speech processing (SpeechEnhancement SE, SoundSourceSeparation SSS, AutomaticSpeechRecognition ASR, NaturalLanguageProcessing NLP, etc.), with a focus on noisy environments, specific vocabularies, and hardware constraints (RPi, IMX8, Jetson Nano, etc.).
In addition, we are exploring approaches to make our SED solution more efficient (latency, FP rate, memory consumption, etc.) and to ensure that we keep up to date with the state of the art. We are also interested in few-shot and even zero-shot learning approaches.
Internship description
As part of this internship, you will be asked to improve our existing solutions and design new State-of-the-Art algorithms for Sound Event Detection (SED).
Missions:
- Getting to grips with existing tools and code.
- Monitor the state of the art in zero/few shot learning for SED.
- Implement and test various solutions.
- Improve solutions found.
- Present progress to technical team.
Required profile
We are looking for Master 2 students (or equivalent engineering cycle) specialized in AI and signal processing, available from January/February 2024.
Required skills:
- In-depth understanding of neural network architectures.
- Completed projects in audio processing. Use of frameworks such as PyTorch, TensorFlow, or Keras would be a plus.
- Proficiency in Python programming and Git.
- Good level of English.
- Autonomy and interpersonal skills.
Offer advantages
- Pleasant living environment in the south of France at La Ciotat, an attractive seaside resort.
- Company on a human scale.
- Possibility of telecommuting (2 days a week).
- Dynamic team.
- Possibility of doing sports between noon and 2 p.m. as part of a team or on your own (running, beach volleyball, swimming in the sea, climbing, strengthening muscles, etc.).
Internship - Text to Speech, Speaker Identification and Voice Cloning
At TUITO, we are dedicated to the application of Artificial Intelligence to optimize the user experience through innovative solutions. Specializing in signal processing and interactive application design, our mission is to facilitate natural human/machine interaction, stimulating user engagement while reducing their cognitive load, for a significant improvement in overall performance.
Our expertise lies in automatic event recognition (SoundEventDetection SED, KeyWordSpotting KWS, SpeechActivityDetection SAD, etc.), speech processing (SpeechEnhancement SE, SoundSourceSeparation SSS, AutomaticSpeechRecognition ASR, NaturalLanguageProcessing NLP, etc.), with a focus on noisy environments, specific vocabularies, and hardware constraints (RPi, IMX8, Jetson Nano, etc.).
We are also actively involved in the field of Text-to-Speech (TTS), seeking to convert natural language expressions into audio tracks. In addition, we are exploring how to leverage the encoder for applications such as speaker identification, voice cloning, and other innovative developments in speech synthesis.
Internship description
As part of this internship, you will be asked to improve our existing solutions and design new State-of-the-Art algorithms for Natural Language to Query (NL2Q).
Missions:
- Monitoring the state of the art in Text to Speech/Voice Cloning, and Speaker Identification.
- Implement and test various solutions.
- Improvements to existing solutions.
- Present progress to technical team.
Required profile
We are looking for Master 2 students (or equivalent engineering cycle) specialized in AI and signal processing, available from January/February 2024.
Required skills
- In-depth understanding of neural network architectures.
- Projects carried out in NLP. Use of frameworks such as PyTorch, TensorFlow, NLTK, Spacy or Keras would be a plus.
- Proficiency in Python programming and Git.
- Good level of English.
- Autonomy and interpersonal skills.
Offer advantages
- Pleasant living environment in the south of France at La Ciotat, an attractive seaside resort.
- Company on a human scale.
- Possibility of telecommuting (2 days a week).
- Dynamic team.
- Possibility of doing sports between noon and 2 p.m. as part of a team or on your own (running, beach volleyball, swimming in the sea, climbing, strengthening muscles, etc.).
Whatever your experience level, we are regularly opening next opportunities in all our folds of expertise, so DO NOT HESITATE.