Senior ML Researcher, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Voice TechnologyIndustries
Requirements
Candidates should have at least 3 years of industry experience as a Machine Learning Engineer, focusing on constructing data pipelines and developing machine learning models. They must demonstrate the ability to autonomously evaluate new concepts or enhance existing machine learning projects, potentially contributing to published works. Extensive experience in conducting exploratory research to improve data quality, especially in audio and text-to-speech domains, is required.
Responsibilities
The Machine Learning Researcher will create and maintain a reliable and scalable data management system for text-to-speech projects, including establishing versioning guidelines and ensuring data quality. They will establish a streamlined process for training, assessing, and launching text-to-speech models, implementing dynamic learning procedures and routines for fine-tuning validation data. Additionally, the researcher will investigate innovative approaches and strategies in machine learning and deep learning related to text-to-speech technology.
Skills
Machine Learning
Deep Learning
Algorithms
Text-to-Speech
Data Management
Data Quality
Version Control
Training
Assessment
Dynamic Learning
Validation
ElevenLabs
Generates long-format speech in any voice
About ElevenLabs
Eleven Labs focuses on voice technology, providing a platform that generates long-format speech in various voices and languages. This technology is designed for content creators, publishers, and media production businesses, enabling them to create audiobooks, podcasts, and voiceovers with natural-sounding voices. Users can access the platform through a subscription model, allowing them to scale their usage based on their needs. Eleven Labs differentiates itself by continuously enhancing its AI algorithms and expanding its voice and language options, catering to the increasing demand for personalized audio experiences. The company's goal is to transform storytelling by offering high-quality voice generation tools that enhance the way audio content is produced.
Key Metrics
New York City, New YorkHeadquarters
2022Year Founded
$98.2MTotal Funding
SERIES_BCompany Stage
Consumer Software, AI & Machine LearningIndustries
51-200Employees