About this opportunity
Carbon Arc lists this Senior Applied Scientist opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Research & Intelligence team builds the machine learning and semantic intelligence capabilities at the core of Carbon Arc. Our work spans graph-based entity resolution, temporal and causal modeling, data valuation systems, and retrieval-augmented applications that operate over massive, heterogeneous data assets.
We are seeking a Senior Applied Scientist to lead and expand key research directions at the intersection of knowledge graphs, retrieval, and predictive analytics. In this role, you will own end-to-end ML systems—from research ideation and prototyping through production deployment—while inventing new ways to make data interoperable, valuable, and actionable at scale.
This is a high-trust, high-impact role for someone who thrives on experimentation, rapid iteration, and building systems that have not existed before.
What You'll Do
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
What You'll Bring
5+ years of experience 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
Nice to Have
Experience designing and optimizing RAG or Graph-RAG architectures, including LLM evaluation and IR-driven optimization
Hands-on expertise with vector databases, graph databases, graph algorithms, and ontology-driven modeling
Experience with time-series forecasting, Bayesian inference, or causal modeling applied to economic, behavioral, or operational prediction
Exposure to optimization, analytics, or modeling in data valuation or pricing systems
What We Offer
Fully paid healthcare benefits (Medical, Dental, Vision)
Remote work options
401(k) plan with employer contributions
Paid time off
Generous parental and family leave policies
Challenging problems to tackle with a supportive, entrepreneurially driven team
A strong work culture centered on integrity, excellence, truth, trust, and transparency
Location
Carbon Arc is headquartered in New York City and operates as a remote-first company. Team members are expected to travel for in-person onsite gatherings at least one week per quarter to collaborate, plan, and connect as a team.
Disclaimer
Note to Recruiters and Placement Agencies: Carbon Arc does not accept unsolicited resumes from recruiters or placement agencies. Any resume submitted without a prior written agreement will be deemed the property of Carbon Arc, and no fee will be paid in the event of a hire.
Equal Opportunity Employer
Carbon Arc is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, pregnancy, veteran or military status, citizenship status, or any other characteristic protected by applicable federal, state, or local law.
Accommodations
Carbon Arc is committed to providing reasonable accommodations throughout the hiring process for qualified individuals with disabilities. If you require an accommodation to participate in the application or interview process, please contact us at
#J-18808-Ljbffr
Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.