Principal Gen AI Scientist - Hybrid, Multimodal & LLMs

Xometry; North Bethesda (MD); Hybrid; USD 200,000 - 230,000; Full time

Benefits offered by this job

401k match

Comprehensive medical, dental, and vision insurance

Generous paid time off

Catered lunch stipend on Tuesdays and Thursdays

Job summary

Xometry in North Bethesda, MD, is looking for a Principal Data Scientist to join their Generative AI team. The role focuses on advancing machine learning capabilities, particularly in generative AI and structured data extraction. You will own the technical roadmap and lead strategic AI initiatives.

The ideal candidate should have 10+ years of experience, proficiency in Python, and a strong background in machine learning and AI. This hybrid position allows for flexibility with office work.

Qualifications

• Typically 10-plus years of experience or a PhD with 6-plus years in ML and data science.
• Expert-level proficiency in Python and large-scale ML systems.
• Familiarity with statistical methods and operational skills.

Responsibilities

• Own and drive a technical roadmap for generative AI initiatives.
• Develop and deploy generative AI models for document processing.
• Lead strategic planning and collaborate cross-functionally.

Skills

Expert-level proficiency in Python

Machine learning expertise

Experience with TensorFlow and PyTorch

Statistical methodology skills

Communication and influence skills

Education

PhD in computer science or related field

Bachelor's degree

Tools

Amazon Web Services (AWS)

PyTorch

TensorFlow

pandas

numpy

Job description

Xometry in North Bethesda, MD, is looking for a Principal Data Scientist to join their Generative AI team. The role focuses on advancing machine learning capabilities, particularly in generative AI and structured data extraction. You will own the technical roadmap and lead strategic AI initiatives.

The ideal candidate should have 10+ years of experience, proficiency in Python, and a strong background in machine learning and AI. This hybrid position allows for flexibility with office work.