Lead ML Platform & Engineering Team

Bloomberg Industry Group; Arlington (VA); On-site; USD 165,000 - 205,000; Full time

Job summary

Bloomberg Industry Group seeks a leader to design and own the technical architecture for Lux, an agentic integration platform connecting data and workflows. You will build and lead the team that develops it, shaping the product roadmap and technical direction.

You will drive the ML lifecycle from problem scoping to data prep and model optimization, while mentoring engineers and partnering with product to maximize impact across the organization.

Qualifications

• Master's or PhD in related field or equivalent work experience.
• 3 years' experience with Java or Python, ML frameworks, data modeling.
• 3 years of software development building ML applications.
• Experience across ML lifecycle from problem mapping to model optimization.
• Project or team leadership experience with strong interpersonal skills.

Responsibilities

• Architect and build the agentic orchestration layer, contributing hands-on.
• Own product vision and roadmap, prioritizing across teams.
• Hire, manage, and mentor the Lux engineering team; establish sprint/on-call.
• Set technical standards, review processes, and manage architectural risk.
• Serve as primary technical/product contact for stakeholders.
• Oversee ML solution development through all lifecycle phases.
• Partner with product to plan roadmaps for maximum impact.
• Ensure observability, stability, scalability, security, performance, cost.
• Guide team on ML/software best practices and hands-on problem solving.
• Foster inclusive culture; lead special projects and other duties.

Skills

Java

Python

ML frameworks

Data modeling

Leadership

Education

Master's or PhD in related field

Tools

DevOps

CI/CD

Infrastructure as Code

Job description

Bloomberg Industry Group seeks a leader to design and own the technical architecture for Lux, an agentic integration platform connecting data and workflows. You will build and lead the team that develops it, shaping the product roadmap and technical direction.

You will drive the ML lifecycle from problem scoping to data prep and model optimization, while mentoring engineers and partnering with product to maximize impact across the organization.