LLM Engineering Lead for Public Safety

Motorola Solutions; Chicago (IL); Remote; USD 240,000 - 265,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical, Dental, Vision

401K with Company Match

Paid Holidays

Generous Paid Time Off

Employee Stock Purchase Plan

Paid Parental & Family Leave

Job summary

Motorola Solutions is seeking an AI Manager Language Models to guide development and deployment of Large Language Model solutions for public safety applications including 911 handling, dispatch automation, and case management. You will bridge AI research and production engineering to build reliable ML systems.

You will lead a collaborative team across the ML lifecycle, turning state-of-the-art language technology into dependable, real-world solutions that empower first responders and safety

Qualifications

• 8+ years of ML research experience or a related postgraduate degree.
• 2+ years of direct management experience.
• Experience leading an LLM-based solution end-to-end.
• Experience managing cloud-based software engineering.
• Strong written and oral communication in English.

Responsibilities

• Lead the development of large language model driven ML solutions.
• Oversee all stages of the ML lifecycle from data curation to deployment and monitoring.
• Apply ML to public safety use cases such as 911 handling, dispatch, and case management.
• Collaborate with infrastructure engineers and research scientists to build scalable ML products.
• Create reusable components to connect research teams and production.

Skills

ML leadership

Management experience

LLM lifecycle

Cloud-based software

English communication

Education

Bachelor's degree or higher in a quantitative field

Job description

Motorola Solutions is seeking an AI Manager Language Models to guide development and deployment of Large Language Model solutions for public safety applications including 911 handling, dispatch automation, and case management. You will bridge AI research and production engineering to build reliable ML systems.

You will lead a collaborative team across the ML lifecycle, turning state-of-the-art language technology into dependable, real-world solutions that empower first responders and safety