AI Manager Language Models (Canada Remote)

At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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.

Aperçu de lentreprise

Chez Motorola Solutions nous pensons que tout commence par nos employés. Nous sommes une communauté mondiale soudée unie par la volonté incessante de contribuer à la sécurité des personnes partout dans le monde. Nous concevons et connectons des technologies qui contribuent à protéger les personnes les biens et les infrastructures. Nos solutions favorisent la collaboration essentielle pour améliorer la sécurité des populations des écoles des hôpitaux des entreprises et finalement des nations. Connectez-vous à une carrière qui compte et aidez-nous à bâtir un avenir plus sûr.

Department Description
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.

We are seeking an AI Manager Language Models to guide the development and deployment of Large Language Model (LLM) machine learning 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.

• 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
  

• 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
  

• 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: $180000 CAD - $200000 CAD

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 Canada.

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• Bachelors degree with 8 years of machine learning experience
• AND 2 years of direct management experience

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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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.

Were 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 thisReasonable Accommodations Formso we can assist you.

Motorola Solutions adopte favorise et promeut les principes de diversité déquité et dinclusion. Nous encourageons et accueillons les candidatures de toutes les personnes qualifiées quelles que soient leur race origines ethnique religion ou croyance orientation sexuelle identité et expression sexuelle statut danciens combattants ou tout autre statut protégé par la Loi.

Nous sommes fiers de notre culture axée sur les personnes et les communautés encourageant ainsi chaque Motorolan dêtre la version la plus authentique de lui-même dans ses responsabilités afin de tenir la promesse dun monde plus sécuritaire.

Si vous souhaitez vous joindre à notre communauté mais croyez que vous ne possédez pas toutes les exigences requises pour le poste convoité nous aimerions tout de même connaître les raisons pour lesquelles vous pensez être un excellent candidat pour notre équipe.

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