Principal AI Specialist
About The Position
Join Motorola Solutions’ Language & Audio group to perform machine learning engineering for large language models and their harnesses. The role spans the machine learning lifecycle, from data curation and model training through deployment, monitoring, evaluation, and feedback, with the goal of improving 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 collaborate with infrastructure engineers and research scientists to build scalable, informative, and responsive machine learning products, while developing reusable components that support cooperation between research units and production engineers. The position is based in Waltham, Massachusetts, with the candidate expected to work in the office 2–3 days per week. Travel is under 10%, and relocation is not provided.
Requirements
- Ph.D. in a quantitative discipline such as mathematics, statistics, physics, or computer science.
- At least 7 years of cumulative machine learning experience.
- 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.
Nice To Haves
- Experience developing software for public safety (police, fire, paramedic, and other first responders) or enterprise settings such as retail or heavy industry.
- Experience working horizontally with UI/UX and product management.
- Experience incorporating UX guidance into LLM-driven design patterns, test patterns, and training methodologies.
- Knowledge of machine learning fundamentals and best practices.
Responsibilities
- Develop machine-learning solutions driven by large language models.
- Work across the machine learning lifecycle, including data curation, model training, deployment, monitoring, evaluation, and feedback.
- Apply machine learning expertise to public safety applications 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 that support integration between research teams and production engineering.
Benefits
- Incentive bonus plans.
- Medical, dental, and vision benefits.
- 401(k) with company match.
- 10 paid holidays.
- Generous paid time off packages.
- Employee stock purchase plan.
- Paid parental and family leave.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
