Principal AI Specialist

You will join the Language & Audio group where you will be performing 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.

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Job Description

Responsibilities

• Perform 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

• Ph.D. in a quantitative discipline such as mathematics, statistics, physics, or computer science
• 7+ years of combined experience as a machine learning researcher and/or a post-graduate degree in a quantitative science or engineering
• 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, heavy industry)
• Experience 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: $200,000 USD - $230,000 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 will be in the Waltham, MA office 2-3 days per week.

#LI-MP2

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Basic Requirements

• Ph.D. in a quantitative discipline such as mathematics, statistics, physics, or computer science
• AND 7+ years of cumulative machine learning experience

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Travel Requirements

Under 10%

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Relocation Provided

None

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Position Type

Experienced

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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.