Machine Learning Engineer II, Text-To-Speech

SoundHound AI Inc; Paris; Hybride; EUR 100 000 - 125 000; Plein temps

Résumé du poste

A leading AI technology firm is searching for a Machine Learning Engineer to join their Text-To-Speech team. You will play a vital role in developing high-quality voice experiences and optimizing models for production. Ideal candidates have 3+ years of experience in machine learning, excellent Python skills, and are familiar with TTS technologies. The position allows for remote work throughout France and includes competitive compensation with many benefits.

Prestations

Salary and equity

Comprehensive healthcare

Paid time off

Qualifications

• 3+ years of experience in machine learning, focusing on speech-related topics.
• Proficient in Python and familiar with PyTorch.
• Experience with machine learning concepts like transformers and GANs.

Responsabilités

• Implement and evaluate TTS models for key products.
• Collaborate with language specialists and data teams.
• Optimize models for production integration.

Connaissances

Machine learning

Python programming

Speech synthesis

PyTorch

C++

Cloud technologies

Outils

Docker

Kubernetes

TorchScript

ONNX

Description du poste

Job Overview

The Machine Learning Engineer on our Text-To-Speech team plays a crucial role in building and refining the models that define our unique voice experiences. The position is actively involved in the entire development lifecycle, from processing data to training and deploying our core TTS systems. Working alongside senior researchers and engineers, the role helps create high-quality, natural-sounding voices to be integrated into a wide range of products. The position's contributions directly impact our ability to deliver an engaging and seamless conversational AI experience to users worldwide.

What You’ll Do

• Implement, train, and evaluate state-of-the-art TTS models to generate high-quality, expressive speech targeted for our key products.
• Collaborate with language specialists and data labelers to organize the collection and maintenance of essential speech data.
• Contribute to the development of core speech synthesis inference engine.
• Optimize models for production runtime.
• Work with the systems and infrastructure teams to assist in the integration and deployment of TTS models into our production environment.
• Analyze model performance and work with product stakeholders to identify areas of improvement. Contribute to the iterative enhancement of our TTS technology.
• Stay current with the latest research and advancements in the TTS field and apply new techniques to our systems.

What You’ll Bring

• 3+ years of professional experience in machine learning, with a strong focus or interest in speech-related topics like TTS or ASR.
• Excellent programming skills in Python and strong experience with PyTorch. Proficiency in C++ is a big plus.
• Strong knowledge of and experience implementing key machine learning concepts such as transformers, speech tokenizers, diffusion, flow-matching, LoRA, GANs.
• Familiarity with cloud technologies such as docker and kubernetes.
• Experience with torchscript or onnx is a plus.
• A track record of working with an entire machine learning pipeline, from data preprocessing to model training and evaluation, in particular for TTS and ASR models.
• A collaborative spirit and the ability to work effectively with cross-functional teams.
• Drawn to tackling complex technical challenges and eager to learn and grow in the field of speech synthesis.

[Please note that if your application is advanced, the initial step will be an invitation to partake in a pre-assessment.]

This position is available for remote work throughout France and Germany. Employees within a 100-kilometer radius of the Paris office are expected to work from the office on three pre-scheduled, company-wide "core days" per month to encourage in-person cross-team collaboration.

Compensation includes salary, equity, comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience.