Machine Learning Engineer, Video at Cantina

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Social Media, Artificial IntelligenceIndustries

Requirements

The ideal candidate possesses over 2 years of experience in ML engineering or data engineering, with a strong background in building video/audio data processing pipelines using serverless GPU infrastructure like Runpod. Proficiency in ML/DL frameworks such as PyTorch and TensorFlow is essential, as is experience deploying models to inference platforms like Baseten. Familiarity with AWS services (S3, DynamoDB), containerization tools (Docker, Kubernetes), and a passion for video AI, multimodal models, or conversational AI are required.

Responsibilities

This role involves owning model deployment from research to production, including building inference endpoints and optimizing performance on cloud infrastructure. Responsibilities include designing, deploying, and maintaining ML services for real-time video processing, ensuring high uptime and low latency. The engineer will also build scalable preprocessing pipelines for video and audio data, architect cloud-native ML systems using AWS and Kubernetes, and automate data annotation processes using AWS Ground Truth and Mechanical Turk. Collaboration with research and product teams to align AI capabilities with user needs is also a key aspect of the role.

Skills

Machine Learning

Model Deployment

Video AI

Data Pipelines

Inference Endpoints

Cloud Infrastructure

GPU

Data Preprocessing

Feature Extraction

Serverless

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.

New York City, New YorkHeadquarters

2014Year Founded

$32.4MTotal Funding

SERIES_BCompany Stage

Consumer Software, AI & Machine Learning, GamingIndustries

51-200Employees