Senior Applied Scientist, Knowledge Graph & Retrieval (Remote)

Carbon Arc; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

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

Job summary

A technology-driven firm in New York is seeking a Senior Applied Scientist to lead machine learning and semantic intelligence projects. The successful candidate will design end-to-end ML systems, collaborating with engineers to create innovative solutions. Ideal applicants will have over five years of experience in AI and statistical modeling, alongside strong programming skills in Python. The company offers remote flexibility and comprehensive benefits, supporting a culture of collaboration and integrity.

Qualifications

• 5+ years of experience delivering machine learning, AI, or statistical modeling systems in production environments.
• Deep proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
• Strong background in unstructured data modeling.

Responsibilities

• Design and deploy machine learning pipelines for entity resolution and data quality scoring.
• Build downstream NLP and retrieval applications.
• Collaborate closely with engineering teams on model design.

Skills

Machine learning

AI systems

Statistical modeling

Python

PyTorch

TensorFlow

Distributed data technologies

Unstructured data modeling

Technical communication

Education

MS or PhD in Computer Science

Tools

Spark

Ray

Kubernetes

Job description

A technology-driven firm in New York is seeking a Senior Applied Scientist to lead machine learning and semantic intelligence projects. The successful candidate will design end-to-end ML systems, collaborating with engineers to create innovative solutions. Ideal applicants will have over five years of experience in AI and statistical modeling, alongside strong programming skills in Python. The company offers remote flexibility and comprehensive benefits, supporting a culture of collaboration and integrity.