AI Manager - Language Models (US Remote)

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Department Overview You will join the Language & Audio group where you will be leading machine learning engineering of our Large Language Models and their harnesses. Your work will impact all aspects of the machine learning cycle, from data curation to model training to deployment to monitoring and feedback, and will likewise improve the effectiveness of first responders and other public safety personnel.

Application areas include natural language processing, summarization, and search over enterprise and public-safety data, redaction, video transcription and case file management, and chat-based interfaces and LLM-enhanced user experiences. You will work with infrastructure engineers and research scientists to build machine learning products that are informative and responsive, leveraging your collaboration skills as you work with a team to develop reusable components, enabling cooperation between research units and production engineers.

Job Description We are seeking an AI Manager Language Models to guide the development and deployment of Large Language Model (LLM) machine learning solutions. In this role, you will bridge AI research and production engineering building reliable ML systems with an immediate focus on public safety application areas, including emergency 911 call handling, dispatch automation, and case management.

You will support a collaborative team across the complete ML lifecycle, transforming state-of-the-art language technology into dependable, real-world solutions that assist first responders and safety professionals in public and enterprise settings. Responsibilities Lead the development of large language model driven machine learning solutions Work across all stages of the machine learning lifecycle, including data curation, model training, deployment, monitoring, evaluation, and feedback.

Apply your knowledge to public safety application areas such as 911 call handling, dispatch, and case management, and enterprise applications in retail, commercial security, and infrastructure management Collaborate with infrastructure engineers and research scientists to build scalable machine learning products Create reusable components to support integration between research teams and production engineering Required Skills 8+ years of combined experience as a machine learning researcher and/or a post-graduate degree in a quantitative science or engineering Including 2+ years of direct

management experience leading technical teams.

Previous experience managing an LLM-based solution from inception to market Previous experience managing cloud-based software engineering Strong written and oral communication skills in English Desired Skills Experience developing software for public safety (police, fire, paramedic and other first responders) or enterprise (retail, farming, heavy industry) Experience managing engineers and researchers, and working horizontally with UI/UX and product management Experience incorporating UX guidance in LLM-driven design patterns, test patterns and training methodologies Knowledgeable of Machine

Learning fundamentals and best practices Target Base Salary Range: $240,000 USD - $265,000 USD Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. Note: Candidate can reside anywhere in the US.

#LI-MP2 #LI-REMOTE Basic Requirements Bachelors degree with 8+ years of machine learning experience AND 2+ years of direct management experience Travel Requirements Under 10% Relocation Provided None Position Type Experienced Referral Payment Plan No Our U.S. Benefits include: Incentive Bonus Plans Medical, Dental, Vision benefits 401K with Company Match 10 Paid Holidays Generous Paid Time Off Packages Employee Stock Purchase Plan Paid Parental & Family Leave and more! EEO Statement Motorola Solutions is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world.

If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you. MOTOROLA SOLUTIONS OVERVIEW At Motorola Solutions, we believe that everything starts with our people.

We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Learn more at www.motorolasolutions.com. If you are a current Motorola Solutions employee, please click this link to apply through your Workday account.

• Bachelor’s degree with 8+ years in machine learning and 2+ years managing technical teams
• Experience managing LLM-based solutions from inception to market
• Proven expertise in cloud-based software engineering and strong English communication skills