Machine Learning Engineer at Cantina

Seattle, Washington, United States

Cantina Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, TechnologyIndustries

Requirements

  • Experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP)
  • Know the pitfalls and tricks for building with LLMs, especially RAG systems
  • Experience with the level of obsession over detail needed to produce high quality ML systems
  • Experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks
  • Experienced in Python
  • Know how to work independently to handle ambiguity
  • Detail-oriented but able to balance speed and perfection in a fast-moving startup environment
  • Energy, intelligence, and passion for the mission (willing to compromise on years of experience)

Responsibilities

  • Fine-tuning models to boost conversational quality and improve scalability
  • Owning new ideas for engaging features and working across the stack to take them from concept to production
  • Identifying novel ways to build a "memory" which leads to a personalized and unique experience for users
  • Leading technical decision making to find solutions which are both innovative and practical
  • Optimize infrastructure for performance, scalability, and reliability
  • Ensure rigorous testing, validation, and continuous improvement of deployed models
  • Building and improving the best LLM group chat experience

Skills

Machine Learning
LLM
Fine-tuning
NLP
RAG
Python
Backend Systems
Infrastructure Optimization
Model Testing

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

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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