Cantina

Machine Learning Infrastructure Manager

San Francisco, California, United States

$200,000 – $250,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have over 5 years of experience working with machine learning infrastructure in a production environment, preferably for a consumer-facing product. A minimum of 2 years of management experience is preferred. Proven experience in leading teams to build scalable ML systems and pipelines is required, along with expertise in cloud platforms such as AWS and container orchestration tools like Docker and Kubernetes. Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch are essential. Familiarity with monitoring and managing deployed models using tools like A/B testing and telemetry is also needed. Excellent communication skills to engage with both technical and non-technical stakeholders are necessary, along with a passion for AI and its applications in creative and social contexts.

Responsibilities

The Machine Learning Infrastructure Manager will lead the design, development, and maintenance of scalable machine learning infrastructure for Cantina's AI-driven applications. They will implement and optimize the deployment of ML models to ensure low-latency and high-availability performance. The role involves collaborating cross-functionally with product, engineering, and research teams to integrate AI models into the platform. Additionally, they will develop robust monitoring and feedback loops for continuous model improvement based on real-world data and user interactions, spearhead initiatives to optimize infrastructure for cost, efficiency, and scalability, and ensure that the machine learning infrastructure adheres to best practices in security and reliability.

Skills

Machine Learning
Infrastructure Management
Scalability
Deployment
Model Optimization
Monitoring
Data Pipelines
Cloud Computing
Performance Tuning

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

Benefits

Health Insurance
Paid Vacation
Paid Sick Leave
401(k) Retirement Plan
401(k) Company Match
Parental Leave
Fertility Treatment Support
Company Equity
Home Office Stipend
Flexible Work Hours
Hybrid Work Options

Risks

Increased competition from emerging AI-driven platforms may dilute Cantina's market share.
Privacy concerns related to AI interactions could impact user trust and engagement.
User fatigue from subscription models may affect Cantina's revenue growth.

Differentiation

Cantina offers a unique blend of social gaming and AI interaction.
The platform provides personalized experiences with AI-driven bots and user-generated content.
Cantina's invitation-only model creates an exclusive virtual club atmosphere.

Upsides

Growing interest in AI-driven social platforms enhances Cantina's market potential.
Subscription-based model ensures steady revenue and opportunities for premium features.
Rising demand for virtual spaces boosts Cantina's user engagement and retention.

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