Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries
Requirements
Candidates must have over 10 years of engineering experience, including at least 4 years in a management role. Deep expertise in natural language processing (NLP), language models, and conversational AI systems is essential. Experience in building and scaling production machine learning infrastructure is required, along with a strong background in real-time systems and performance optimization. Familiarity with modern machine learning frameworks and cloud infrastructure is necessary, as well as a proven track record of successful cross-functional collaboration.
Responsibilities
The Engineering Manager for Text Systems will lead and grow a team of Machine Learning Engineers and Researchers focused on text-based AI systems. Responsibilities include architecting and implementing scalable infrastructure for model training, fine-tuning, and inference. The manager will design and optimize response generation systems for natural, contextually-aware bot conversations and build robust intent detection and bot classification systems. Additionally, they will develop efficient bot building pipelines, create frameworks for measuring and improving text generation quality, and establish infrastructure for continuous model improvement through user interaction data.
Skills
Text Generation
Natural Language Processing
Model Training
Model Inference
Intent Detection
Bot Classification
Scalable Infrastructure
System Design
Performance Optimization
Data Pipelines
Cantina
Social gaming platform with AI interactions
About Cantina
Cantina.com offers a platform that merges social gaming with artificial intelligence, allowing users to create and interact with AI-driven bots in a virtual space called "The Cantina." Users can customize their experiences by adding bots with unique personalities, engaging in conversations, and creating AI art, making each interaction personalized. The company stands out by focusing on user-driven content and a dynamic experience, appealing to tech-savvy individuals and social gamers. Cantina operates on a subscription model, aiming to provide an engaging environment that leverages the growing interest in AI and social gaming.
Key Metrics
New York City, New YorkHeadquarters
2014Year Founded
$32.4MTotal Funding
SERIES_BCompany Stage
Consumer Software, AI & Machine Learning, GamingIndustries
51-200Employees