Director - Machine Learning Research
CiteWorks Studio is hiring a Director of Machine Learning Research to lead research into how large language models generate answers, retrieve information, and cite sources.
This leadership role focuses on studying the behavior of large language models such as ChatGPT, Claude, Gemini, Perplexity, and open-source transformer models.
The Director of Machine Learning Research will guide research exploring AI retrieval systems, generative search architecture, and citation behavior in AI-generated answers.
CiteWorks Studio is hiring a Director of Machine Learning Research to lead research into how large language models generate answers, retrieve information, and cite sources.
This leadership role focuses on studying the behavior of large language models such as ChatGPT, Claude, Gemini, Perplexity, and open-source transformer models.
The Director of Machine Learning Research will guide research exploring AI retrieval systems, generative search architecture, and citation behavior in AI-generated answers.
[ What Is Machine Learning Research? ]
[ What Is Machine Learning Research? ]
Machine learning research is the scientific study of algorithms and systems that allow computers to learn patterns from data and improve performance over time.
Machine learning research often focuses on developing new models, evaluation methods, and data systems that enable artificial intelligence to perform tasks such as:
• natural language understanding
• reasoning and problem solving
• knowledge retrieval
• pattern recognition
• predictive modeling
In the context of modern AI systems, machine learning research frequently involves studying large language models and generative AI architectures.
Machine learning research is the scientific study of algorithms and systems that allow computers to learn patterns from data and improve performance over time.
Machine learning research often focuses on developing new models, evaluation methods, and data systems that enable artificial intelligence to perform tasks such as:
• natural language understanding
• reasoning and problem solving
• knowledge retrieval
• pattern recognition
• predictive modeling
In the context of modern AI systems, machine learning research frequently involves studying large language models and generative AI architectures.
[ What Does a Director of Machine Learning Research Do? ]
[ What Does a Director of Machine Learning Research Do? ]
A Director of Machine Learning Research leads teams that study and develop machine learning systems.
The role focuses on guiding research that explores how AI models learn from data, generate predictions, and interact with complex information systems.
Typical responsibilities include:
• leading machine learning research initiatives
• guiding research into model architecture and training methods
• designing experiments to evaluate model behavior
• publishing research findings related to AI systems
• collaborating with engineering teams to apply research insights
In organizations focused on generative AI, this role often involves studying large language models and retrieval systems.
A Director of Machine Learning Research leads teams that study and develop machine learning systems.
The role focuses on guiding research that explores how AI models learn from data, generate predictions, and interact with complex information systems.
Typical responsibilities include:
• leading machine learning research initiatives
• guiding research into model architecture and training methods
• designing experiments to evaluate model behavior
• publishing research findings related to AI systems
• collaborating with engineering teams to apply research insights
In organizations focused on generative AI, this role often involves studying large language models and retrieval systems.
[ About CiteWorks Studio ]
[ About CiteWorks Studio ]
CiteWorks Studio is an AI research and generative engine optimization (GEO) firm focused on understanding how large language models retrieve and cite information.
Modern AI systems such as ChatGPT, Claude, Gemini, and Perplexity increasingly function as the primary interface for information discovery. Instead of ranking web pages like traditional search engines, these systems generate answers by retrieving and synthesizing knowledge from multiple sources.
CiteWorks Studio studies this transformation and helps organizations understand:
• how AI systems determine trusted sources
• how citation patterns appear inside AI-generated answers
• how knowledge graphs influence model responses
• how organizations become trusted references in generative search systems
Our research focuses on AI citation intelligence, LLM retrieval systems, and generative search benchmarking.
CiteWorks Studio is an AI research and generative engine optimization (GEO) firm focused on understanding how large language models retrieve and cite information.
Modern AI systems such as ChatGPT, Claude, Gemini, and Perplexity increasingly function as the primary interface for information discovery. Instead of ranking web pages like traditional search engines, these systems generate answers by retrieving and synthesizing knowledge from multiple sources.
CiteWorks Studio studies this transformation and helps organizations understand:
• how AI systems determine trusted sources
• how citation patterns appear inside AI-generated answers
• how knowledge graphs influence model responses
• how organizations become trusted references in generative search systems
Our research focuses on AI citation intelligence, LLM retrieval systems, and generative search benchmarking.
[ Role Overview ]
[ Role Overview ]
The Director of Machine Learning Research will lead research exploring how large language models retrieve knowledge and generate answers.
The role will guide research initiatives that study:
• generative AI systems
• information retrieval pipelines
• model evaluation methods
• citation behavior in AI-generated responses
• knowledge graph signals used by AI systems
This role combines machine learning research leadership with applied AI systems analysis.
The Director of Machine Learning Research will lead research exploring how large language models retrieve knowledge and generate answers.
The role will guide research initiatives that study:
• generative AI systems
• information retrieval pipelines
• model evaluation methods
• citation behavior in AI-generated responses
• knowledge graph signals used by AI systems
This role combines machine learning research leadership with applied AI systems analysis.
[ Key Responsibilities ]
[ Key Responsibilities ]
The Director of Machine Learning Research will oversee research exploring the behavior of large language models and generative AI systems.
Responsibilities include:
• leading machine learning research initiatives related to generative AI
• designing experiments to analyze large language model behavior
• studying how AI systems retrieve information from training data and external sources
• guiding research into citation patterns and knowledge retrieval systems
• collaborating with engineering teams to build systems that analyze AI-generated responses
• publishing research on AI systems, generative search, and machine learning methods.
The Director of Machine Learning Research will oversee research exploring the behavior of large language models and generative AI systems.
Responsibilities include:
• leading machine learning research initiatives related to generative AI
• designing experiments to analyze large language model behavior
• studying how AI systems retrieve information from training data and external sources
• guiding research into citation patterns and knowledge retrieval systems
• collaborating with engineering teams to build systems that analyze AI-generated responses
• publishing research on AI systems, generative search, and machine learning methods.
[ Why Machine Learning Research Matters ]
[ Why Machine Learning Research Matters ]
Machine learning research drives the development of new artificial intelligence systems and algorithms.
Large language models represent one of the most significant advances in machine learning in recent years.
These systems generate answers by combining statistical learning with large-scale data and retrieval systems.
Research into these models helps organizations understand:
• how AI systems generate responses
• how models retrieve knowledge
• how reliable AI-generated answers are
• how generative AI systems evolve over time
Machine learning research drives the development of new artificial intelligence systems and algorithms.
Large language models represent one of the most significant advances in machine learning in recent years.
These systems generate answers by combining statistical learning with large-scale data and retrieval systems.
Research into these models helps organizations understand:
• how AI systems generate responses
• how models retrieve knowledge
• how reliable AI-generated answers are
• how generative AI systems evolve over time
[ Research Areas This Role Will Explore ]
[ Research Areas This Role Will Explore ]
The Director will guide research across several areas of machine learning and generative AI.
Large Language Models
Studying the architecture and behavior of transformer-based AI systems.
Information Retrieval Systems
Analyzing how AI models retrieve and synthesize knowledge.
Model Evaluation
Designing frameworks that measure model accuracy, reasoning ability, and reliability.
Citation Behavior
Studying how AI models reference sources in generated answers.
Generative Search Systems
Exploring how AI systems replace traditional search interfaces.
The Director will guide research across several areas of machine learning and generative AI.
Large Language Models
Studying the architecture and behavior of transformer-based AI systems.
Information Retrieval Systems
Analyzing how AI models retrieve and synthesize knowledge.
Model Evaluation
Designing frameworks that measure model accuracy, reasoning ability, and reliability.
Citation Behavior
Studying how AI models reference sources in generated answers.
Generative Search Systems
Exploring how AI systems replace traditional search interfaces.
[ Qualifications ]
[ Qualifications ]
Required
• PhD or equivalent experience in machine learning, artificial intelligence, or data science
• strong understanding of large language models and transformer architectures
• experience leading machine learning research teams
• experience designing experiments and publishing research findings
• strong background in NLP, machine learning, or AI systems
Preferred
• experience researching large language models or generative AI systems
• familiarity with retrieval augmented generation (RAG) architectures
• experience studying information retrieval or search systems
• experience building evaluation frameworks for AI systems
Required
• PhD or equivalent experience in machine learning, artificial intelligence, or data science
• strong understanding of large language models and transformer architectures
• experience leading machine learning research teams
• experience designing experiments and publishing research findings
• strong background in NLP, machine learning, or AI systems
Preferred
• experience researching large language models or generative AI systems
• familiarity with retrieval augmented generation (RAG) architectures
• experience studying information retrieval or search systems
• experience building evaluation frameworks for AI systems
[ Why Join CiteWorks Studio ]
[ Why Join CiteWorks Studio ]
This role sits at the frontier of machine learning research and generative AI systems.
The Director of Machine Learning Research will help advance research into how modern AI systems retrieve knowledge and generate answers.
As generative AI becomes the primary interface for information discovery, machine learning research will play a central role in understanding how AI systems synthesize and cite information.
This role sits at the frontier of machine learning research and generative AI systems.
The Director of Machine Learning Research will help advance research into how modern AI systems retrieve knowledge and generate answers.
As generative AI becomes the primary interface for information discovery, machine learning research will play a central role in understanding how AI systems synthesize and cite information.
[ Key Terms ]
[ Key Terms ]
Machine Learning
A field of artificial intelligence focused on algorithms that allow systems to learn patterns from data.
Large Language Model (LLM)
A machine learning model trained on massive datasets that can generate text, answer questions, and perform reasoning tasks.
Generative Search
A form of search where AI systems generate answers by synthesizing information instead of returning ranked links.
AI Citation Intelligence
The analysis of how frequently specific sources appear inside AI-generated responses.
Machine Learning
A field of artificial intelligence focused on algorithms that allow systems to learn patterns from data.
Large Language Model (LLM)
A machine learning model trained on massive datasets that can generate text, answer questions, and perform reasoning tasks.
Generative Search
A form of search where AI systems generate answers by synthesizing information instead of returning ranked links.
AI Citation Intelligence
The analysis of how frequently specific sources appear inside AI-generated responses.