Machine Learning Researcher
ElevenLabsSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must have over 5 years of experience in large-scale distributed data processing systems or building machine learning infrastructure, along with a total of at least 7 years of software development experience. A fundamental understanding of machine learning concepts is required, and proficiency in Python is essential. Candidates should also possess strong communication skills to coordinate and engage with various stakeholders.
Responsibilities
The ML/Data Infrastructure Engineer will design and optimize the inference infrastructure and systems for video language models. They will also design and maintain data infrastructure and pipelines for large-scale video-text datasets, including automatic labeling and model-based filtering. Additionally, the engineer will collaborate closely with the research team to create an optimal environment for innovative AI technology development.
Skills
Python
Data Processing
Machine Learning
Distributed Systems
Natural Language Processing
Computer Vision
Recommendation Systems
Ranking Systems
Twelve Labs
AI system for video content understanding
About Twelve Labs
Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$104.2MTotal Funding
EARLY_VCCompany Stage
Enterprise Software, AI & Machine Learning, EducationIndustries
51-200Employees