LLM Engineering Manager for Public Safety Applications

Motorola Solutions; Rhode Island; Remote; USD 240,000 - 265,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical, Dental, Vision benefits

401K with Company Match

10 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 the development and deployment of Large Language Model ML solutions with a focus on public safety applications. You will bridge AI research and production engineering to build reliable ML systems for 911 dispatch, case management, and enterprise use cases.

You will collaborate with infrastructure engineers and researchers to deliver scalable, production-ready LLM products and reusable components that empower first responders

Qualifications

• 8+ years of machine learning experience in research or related field
• 2+ years of direct management experience
• Experience managing an LLM-based solution from inception to market
• Experience managing cloud-based software engineering
• Strong written and oral communication skills in English

Responsibilities

• Lead the development of large language model driven machine learning solutions
• Work across all stages of the ML lifecycle: data curation, model training, deployment, monitoring, evaluation and feedback
• Apply knowledge to public safety applications such as 911 call handling, dispatch and case management
• Collaborate with infrastructure engineers and research scientists to build scalable ML products
• Create reusable components to support integration between research teams and production engineering

Skills

ML leadership

LLM management

Cloud engineering

English proficiency

Education

Bachelor's degree

Job description

Motorola Solutions is seeking an AI Manager Language Models to guide the development and deployment of Large Language Model ML solutions with a focus on public safety applications. You will bridge AI research and production engineering to build reliable ML systems for 911 dispatch, case management, and enterprise use cases.

You will collaborate with infrastructure engineers and researchers to deliver scalable, production-ready LLM products and reusable components that empower first responders