Senior Applied Scientist — Graph AI & RAG Systems (Remote)

Carbon Arc, Inc.; New York, Northern (NY, KY); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Remote work options

401(k) plan with employer contribution

Paid time off

Generous parental and family leave

Job summary

Carbon Arc, Inc. is seeking a Senior Applied Scientist to lead and expand research directions at the intersection of knowledge graphs, retrieval, and predictive analytics.

You will own end-to-end ML systems—from ideation and prototyping through production deployment—while inventing new ways to make data interoperable, valuable, and actionable at scale. This high-trust, high-impact role thrives on experimentation, rapid iteration, and building systems that have not existed before.

Qualifications

• 5+ years delivering machine learning, AI, or statistical modeling systems in production environments.
• MS or PhD in Computer Science, Statistics, or a related technical discipline.
• Deep proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
• Experience working with distributed data and compute technologies (e.g., Spark, Ray, Kubernetes).
• Strong background in unstructured data modeling, including embeddings, information retrieval, and LLM-based systems.
• Proven ability to take research prototypes and scale them into reliable, production-grade services.
• Clear, precise technical communication skills that support effective cross-functional collaboration.

Responsibilities

• Design and deploy machine learning pipelines for entity resolution, semantic linking, and data quality scoring across structured and unstructured data sources.
• Build downstream NLP and retrieval applications, including retrieval-augmented generation (RAG) and graph-based RAG over an enterprise knowledge graph.
• Apply graph learning, vector retrieval, and embedding-based similarity to unify analytics across text, metadata, and operational signals.
• Extend and operationalize temporal and causal modeling capabilities, representing events, sequences, and hierarchies within the knowledge graph.
• Apply temporal and causal models to forecasting, anomaly detection, and predictive analytics use cases.
• Maintain and evolve Carbon Arc's knowledge graph by enriching ontologies, improving linking logic, and optimizing downstream reasoning.
• Establish rigorous standards for model evaluation, monitoring, and lifecycle management in dynamic data environments.
• Collaborate closely with engineering teams on model design, API integration, and distributed inference workflows.
• Mentor scientists and engineers on experimental design, responsible AI practices, and scalable deployment.
• Contribute to intellectual property development, including internal frameworks, patents, and publications advancing data economics.

Skills

Python

PyTorch

TensorFlow

Distributed compute

Spark

Ray

Kubernetes

LLM-based systems

Unstructured data modeling

Technical communication

Education

MS or PhD in Computer Science/Statistics

Tools

Vector databases

Graph databases

Ontology-driven modeling

Job description

Carbon Arc, Inc. is seeking a Senior Applied Scientist to lead and expand research directions at the intersection of knowledge graphs, retrieval, and predictive analytics.

You will own end-to-end ML systems—from ideation and prototyping through production deployment—while inventing new ways to make data interoperable, valuable, and actionable at scale. This high-trust, high-impact role thrives on experimentation, rapid iteration, and building systems that have not existed before.